Libraries.csv

title,url,page,text,Category,Rank,Hide,isFree,isTopRated,verified,premium,imgUrl,logoUrl
TensorFlow,https://www.tensorflow.org/,tensorflow,TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples.,Deep Learning; Neural Network Framework; Generative AI; Machine Learning Frameworks,190000,FALSE,TRUE,TRUE,TRUE,TRUE,https://drive.google.com/file/d/1-Xyi9f_b8N8nyUgrLPadtrig_xB103HX/view,https://www.gstatic.com/devrel-devsite/prod/vc38a15f5a89ceb3dee5ad4d2d7b57b718d8556c0e3724a12c131a2b9d037d8c7/tensorflow/images/lockup.svg
NumPy,https://numpy.org/,numpy,Data scientist looking for a fast and user-friendly tool to conduct data analysis.,Data Manipulation; Scientific Computing,,FALSE,TRUE,TRUE,TRUE,FALSE,,https://numpy.org/images/logo.svg
Keras,https://keras.io/,keras,Developers who are looking to experiment and bring their ideas to life fast.,Deep Learning; Machine Learning Frameworks,62000,FALSE,TRUE,TRUE,TRUE,FALSE,,https://keras.io/img/logo.png
SciPy,https://scipy.org/,scipy,It is best known for its ability to perform scientific and technical computing on large sets of data.,Scientific Computing,13000,FALSE,TRUE,TRUE,TRUE,FALSE,,https://scipy.org/images/logo.svg
Seaborn,https://seaborn.pydata.org/,seaborn,Seaborn is an open-source Python library built on top of Matplotlib. It is used in many machine learning projects due to its ability to generate plots of learning data.,Data Visualization,13000,FALSE,TRUE,TRUE,TRUE,FALSE,,https://seaborn.pydata.org/_static/logo-wide-lightbg.svg
Scikit-learn,https://scikit-learn.org/stable/,scikit-learn,Models that are being trained to detect spam or recognize images.,Machine Learning Frameworks,61000,,,,,,,https://scikit-learn.org/stable/_static/scikit-learn-logo-small.png
Plotly,https://plotly.com/python/,plotly,Developers and data analysts looking for an interactive and customizable tool to present their information.,Data Visualization,17000,,,,,,,https://plotly.com/all_static/images/graphing_library.svg
Matplotlib,https://matplotlib.org/,matplotlib,Newbies or professionals looking to create sophisticated plots with a visual component.,Data Visualization,21000,,,,,,,https://matplotlib.org/_static/logo_light.svg
PyTorch,https://pytorch.org/,pytorch,Developers looking for a flexible and intuitive platform for deep learning models.,Deep Learning; Neural Network Framework; Generative AI; Machine Learning Frameworks,85000,,,,,,,https://pytorch.org/assets/images/logo-white.svg
PyTensor,https://pytensor.readthedocs.io/en/latest/,pytensor,"PyTensor is a Python library that allows you to define, optimize/rewrite, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.",Deep Learning; Tensor Computation,,,,,,,,https://pytensor.readthedocs.io/en/latest/_static/PyTensor_RGB.svg
Pandas,https://pandas.pydata.org/,pandas,"is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool,
built on top of the Python programming language.",Data Manipulation; Data Analysis,,,,,,,,https://pandas.pydata.org/static/img/pandas_white.svg
XGBoost,https://xgboost.readthedocs.io/en/stable/python/python_intro.html,xgboost,"XGBoost is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python, R, Julia, Perl, and Scala. It works on Linux, Microsoft Windows, and macOS.",Machine Learning (Gradient Boosting),26000,,,,,,,https://xgboost.ai/images/logo/xgboost-logo.png
LightGBM,https://lightgbm.readthedocs.io/en/stable/,lighgbm,"LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. It is based on decision tree algorithms and used for ranking, classification and other machine learning tasks.",Machine Learning (Gradient Boosting),17000,,,,,,,https://lightgbm.readthedocs.io/en/stable/_static/LightGBM_logo_grey_text.svg
CatBoost,https://catboost.ai/en/docs/concepts/python-installation,catboost,CatBoost is a gradient-boosting library known for its speed and quality. It supports numerical and categorical data.,Machine Learning (Gradient Boosting),8200,,,,,,,https://yastatic.net/s3/locdoc/daas-static/catboost/71b237a322eec6f2889af0dae2a9c549.svg
NLTK,https://www.nltk.org,nltk,"The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.",Natural Language Processing; Text Data & NLP,14000,,,,,,,https://thedatascientist.com/wp-content/uploads/2023/08/nltk.png
FastAI,https://docs.fast.ai/,fastai,"fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches.",Deep Learning; Machine Learning Frameworks,26000,,,,,,,https://github.com/fastai/fastai/actions/workflows/main.yml/badge.svg
Statsmodels,https://www.statsmodels.org/stable/index.html,statsmodels,"statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration.",Statistical Analysis and Econometrics; Machine Learning Frameworks,10000,,,,,,,https://www.statsmodels.org/stable/_images/statsmodels-logo-v2-horizontal.svg
RapidsAI,https://rapids.ai/,rapidsai,The RAPIDS suite of open-source software libraries executes end-to-end data science and analytics pipelines entirely on GPUs.,Machine Learning; Data Science,,,,,,,,https://rapids.ai/images/rapids-logo-whitetxt.svg
Optuna,https://optuna.org/,optuna,This open-source hyperparameter optimization framework is used primarily to automate hyperparameter searches.,Hyperparameter Optimization & AutoML,11000,,,,,,,https://optuna.org/assets/img/optuna-logo.png
PyCaret,https://pycaret.org/,pycaret,"PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that exponentially speeds up the experiment cycle and makes you more productive.",Machine Learning Auto ML;Workflow & Experiment Tracking,9100,,,,,,,https://pycaret.org/wp-content/uploads/2022/01/Transparent_file1-01-01-01-01.png
H2O,https://docs.h2o.ai/h2o/latest-stable/h2o-docs/welcome.html,h2o,H2O is a machine learning and predictive analytics platform that enables the construction of machine learning models on big data.,Machine Learning Auto ML,,,,,,,,https://docs.h2o.ai/h2o/latest-stable/h2o-docs/_static/logo.png
TPOT,https://epistasislab.github.io/tpot/,tpot,TPOT is an Automated Machine Learning (AutoML) library. It was built as an add-on to scikit-learn and uses Genetic Programming (GP) to determine the best model pipeline for a given dataset.,Machine Learning Auto ML; Hyperparameter Optimization,9800,,,,,,,https://raw.githubusercontent.com/EpistasisLab/tpot/master/images/tpot-logo.jpg
Auto-sklearn,https://automl.github.io/auto-sklearn,auto-sklearn,"Auto-sklearn is an automated machine learning toolkit and a suitable substitute for a scikit-learn model. It performs hyperparameter tuning and algorithm selection automatically, saving considerable time for machine learning practitioners. Its design reflects recent advances in meta-learning, ensemble construction, and Bayesian optimization.",Machine Learning Auto ML; Hyperparameter Optimization,7700,,,,,,,https://github.com/automl/auto-sklearn/raw/development/doc/images/askl_pipeline.png
FLAML,https://github.com/microsoft/FLAML,flaml,"FLAML is a lightweight Python library that automatically identifies accurate machine learning models. It selects learners and hyperparameters automatically, saving machine learning practitioners considerable time and effort.",Machine Learning Auto ML,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyTorch Lightning,https://lightning.ai/,pyTorch lightning,"PyTorch Lightning offers a high-level interface for PyTorch. Its high-performance and lightweight framework can organize PyTorch code to decouple the research from the engineering, making deep learning experiments simpler to understand and reproduce. It was developed to create scalable deep learning models that can seamlessly run on distributed hardware.",Deep Learning,,,,,,,,https://lightning.ai/static/media/logo-with-text-dark.bdcfdf86bccb9812ed1d3ec873e9e771.svg
spaCy,https://spacy.io/,spacy,"spaCy is an industrial-strength, open-source natural language processing library in Python. spaCy excels at large-scale information extraction tasks. It is written from the ground up in carefully memory-managed Cython. spaCy is the ideal library to use if your application needs to process massive web dumps.",Natural Language Processing; Text Data & NLP,31000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Gensim,https://radimrehurek.com/gensim/,gensim,"Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. Its principle usership is in the information retrieval and natural language processing communities.",Natural Language Processing; Text Data & NLP,16000,,,,,,,https://radimrehurek.com/gensim/_static/images/gensim.png
Hugging Face Transformers,https://www.datacamp.com/tutorial/an-introduction-to-using-transformers-and-hugging-face,hugging face transformers,"Hugging Face Transformers is an open-source library by Hugging Face. Transformers allow APIs to easily download and train state-of-the-art pre-trained models. Using pre-trained models can reduce your compute costs, carbon footprint, and save you time from having to train a model from scratch.",Natural Language Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Polars,https://pola.rs/,polars,Polars is a high-performance DataFrame library optimized for large data sets. It utilizes lazy evaluation and multi-threading for rapid data operations.,Data Manipulation,,,,,,,,https://pola.rs/_astro/polars-cloud.DDYQK_KH_Z23Kwkw.webp
Bokeh,https://bokeh.org/,bokeh,Bokeh specializes in interactive visualizations independent of Matplotlib. It works in modern browsers and offers various interactive features.,Data Visualisation,20000,,,,,,,https://static.bokeh.org/logos/logotype.svg
pydot,https://pypi.org/project/pydot/,pydot,Pydot is an interface to Graphviz and is ideal for generating complex graphs.,Graph Visualization,,,,,,,,https://pypi.org/static/images/logo-small.8998e9d1.svg
Eli5,https://eli5.readthedocs.io/en/latest/,eli5,Eli5 helps debug machine learning models by offering visualization tools.,Data Visualisation; Explainable AI; Machine Learning Frameworks; Model Interpretability,2800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyBrain,https://github.com/pybrain/pybrain,pyBrain,"Although inactive, PyBrain offers a range of machine-learning algorithms. It was designed for both beginners and advanced users.",Machine Learning Frameworks,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Dist-Keras,https://joerihermans.com/work/distributed-keras/,dist-kkeras,"Built on Keras and Apache Spark, Dist-Keras focuses on distributed deep learning.",Deep Learning,,,,,,,,https://joerihermans.com/images/logo.png
Caffe,https://caffe.berkeleyvision.org/,caffe,"Developed by BVLC and BAIR, Caffe specializes in vision-based machine learning tasks. It excels in image classification and convolutional neural networks.",Deep Learning,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Fuel,https://fuel.readthedocs.io/en/latest/,fuel,"Fuel acts as a data pipeline for machine learning models, offering out-of-the-box support for popular datasets and on-the-fly data preprocessors.",Deep Learning,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
StatsModels,https://www.statsmodels.org/devel/,statsModels,"Ideal for statistical analysis, StatsModels provides methods for various statistical models from simple linear regression to time-series analysis.",Statistical Modeling; Machine Learning Frameworks,10000,,,,,,,https://www.statsmodels.org/devel/_static/statsmodels-logo-v2-bw.svg
Scrapy,https://scrapy.org/,scrapy,"Scrapy is a robust framework for scraping structured data from the web, supporting large-scale data extraction.",Web Scraping,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Pattern,https://github.com/clips/pattern/wiki,pattern,"Pattern is an all-in-one solution offering machine learning algorithms, data collection, and analysis. It supports data mining from sources like Google, Twitter, and Wikipedia.",Web Mining,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TextBlob,https://textblob.readthedocs.io/en/dev/,textblob,"TextBlob is a must for developers who are starting their journey with NLP in Python and want to make the most of their first encounter with NLTK. It provides beginners with an easy interface to help them learn the most basic NLP tasks like sentiment analysis, pos-tagging, or noun phrase extraction.",Natural Language Processing; Text Data & NLP,9200,,,,,,,https://textblob.readthedocs.io/en/dev/_static/textblob-logo.png
CoreNLP,https://stanfordnlp.github.io/CoreNLP/,corenlp,This library was developed at Stanford University and written in Java. It has been pivotal in academic and research settings due to its accurate natural language parsing and rich linguistic annotations.,Natural Language Processing,,,,,,,,https://stanfordnlp.github.io/CoreNLP/assets/images/corenlp-title.png
polyglot,https://polyglot.readthedocs.io/en/latest/,polyglot,"Polyglot is similar to spaCy – it’s very efficient, straightforward, and an excellent choice for projects involving a language spaCy doesn’t support. The library also stands out from the crowd because it requests a dedicated command in the command line through the pipeline mechanisms—worth a try.",Natural Language Processing; Text Data & NLP,2300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
OpenCV,https://opencv.org/?ref=allthingsai.com,opencv,"For computer vision tasks like recognizing faces or objects in images, OpenCV is a go-to library. It has thousands of algorithms for working with images and videos. It's used in different fields, from academics to industry.",Computer Vision,,,,,,,,https://opencv.org/wp-content/uploads/2022/05/logo.png
PyTorch Geometric,https://pytorch-geometric.readthedocs.io/en/latest/,pytorch geometric,PyG (PyTorch Geometric) is a library built upon  PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.,Graph Neural Networks; Graph Data,22000,,,,,,,https://raw.githubusercontent.com/pyg-team/pyg_sphinx_theme/master/pyg_sphinx_theme/static/img/pyg_logo.png
HuggingFace,https://huggingface.co/,huggingface,The Hugging Face is an open-source library that provides a vast array of pre-trained models primarily focused on NLP.,Natural Language Processing,,,,,,,,https://huggingface.co/front/assets/huggingface_logo-noborder.svg
JAX,https://jax.readthedocs.io/en/latest/quickstart.html,jax,"JAX is a library for array-oriented numerical computation (à la NumPy), with automatic differentiation and JIT compilation to enable high-performance machine learning research.",Machine Learning Frameworks; Generative AI,31000,,,,,,,https://jax.readthedocs.io/en/latest/_static/jax_logo_250px.png
LangChain,https://python.langchain.com/docs/introduction/,langchain,LangChain is a framework for developing applications powered by large language models (LLMs). LangChain simplifies every stage of the LLM application lifecycle.,Natural Language Processing; Generative AI,,,,,,,,https://python.langchain.com/img/brand/wordmark.png
BeautifulSoup,https://www.crummy.com/software/BeautifulSoup/bs4/doc/,beautifulsoup,"Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.",Web Scraping,,,,,,,,https://www.crummy.com/software/BeautifulSoup/bs4/doc/_images/6.1.jpg
OpenAI (GPT-3),https://platform.openai.com/docs/api-reference/introduction,openai,OpenAI provides access to one of the most powerful AI models for natural language processing.,Natural Language Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Magenta,https://magenta.tensorflow.org/get-started,magenta,"This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models.",Generative AI,19000,,,,,,,https://magenta.tensorflow.org/assets/magenta-logo.png
Caffe2,https://caffe2.ai/docs/getting-started.html?platform=windows&configuration=compile,caffe2,Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform libraries.,Deep Learning Frameworks,,,,,,,,https://caffe2.ai/static/logo.svg
Diffusers,https://pypi.org/project/diffusers/,diffusers,"Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. Whether you're looking for a simple inference solution or training your own diffusion models",Generative AI,,,,,,,,https://pypi.org/static/images/logo-small.8998e9d1.svg
LlamaIndex,https://docs.llamaindex.ai/en/stable/,llamaIndex,LlamaIndex is a framework for building context-augmented generative AI applications with LLMs including agents and workflows.,Data Management; Generative AI,,,,,,,,https://docs.llamaindex.ai/en/stable/_static/assets/LlamaSquareBlack.svg
HayStack,https://docs.haystack.deepset.ai/docs/intro,haystack,"Haystack is an open-source framework for building production-ready LLM applications, retrieval-augmented generative pipelines and state-of-the-art search systems that work intelligently over large document collections.",Natural Language Processing; Text Data & NLP,18000,,,,,,,https://files.readme.io/4b4b515-small-Haystack_Primary_White_Text.png
PineCone,https://docs.pinecone.io/guides/get-started/overview,pinecone,"Pinecone is the leading AI infrastructure for building accurate, secure, and scalable AI applications. Use Pinecone Database to store and search vector data at scale, or start with Pinecone Assistant to get a RAG application running in minutes.",Data Management,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Cohere,https://docs.cohere.com/reference/about,Cohere,A large language model startup offering access to powerful AI models through an API.,Natural Language Processing,,,,,,,,https://fdr-prod-docs-files-public.s3.amazonaws.com/cohere.docs.buildwithfern.com/2024-11-29T15:24:53.904Z/assets/logo.svg
Sonnet,https://sonnet.readthedocs.io/en/latest/,sonnet,"Sonnet is a library built on top of TensorFlow designed to provide simple, composable abstractions for machine learning research.",Deep Learning Frameworks; Machine Learning Frameworks,9800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Mahotas,https://mahotas.readthedocs.io/en/latest/,mahotas,Mahotas is a computer vision and image processing library for Python.It includes many algorithms implemented in C++ for speed while operating in numpy arrays and with a very clean Python interface.,Computer Vision; Image Data,860,,,,,,,https://github.com/luispedro/mahotas/actions/workflows/test-python-package-with-conda.yml/badge.svg
Pillow,https://pillow.readthedocs.io/en/stable/,pillow,The Python Imaging Library adds image processing capabilities to your Python interpreter. It’s a friendly fork of the Python Imaging Library (PIL).,Computer Vision; Image Data,12000,,,,,,,https://pillow.readthedocs.io/en/stable/_static/pillow-logo-dark-text.png
Stanza,https://stanfordnlp.github.io/stanza/,stanza,"Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text, Stanza divides it into sentences and words, and then can recognize parts of speech and entities, do syntactic analysis, and more. Stanza brings state-of-the-art NLP models to languages of your choosing.",Natural Language Processing; Text Data & NLP,7300,,,,,,,https://github.com/stanfordnlp/stanza/raw/dev/images/stanza-logo.png
Dash,https://dash.plotly.com/,dash,Dash is the original low-code framework for rapidly building data apps in Python.,Web Development,22000,,,,,,,https://dash.plotly.com/assets/images/plotly_logo_dark.png
Streamlit,https://streamlit.io/,streamlit,Streamlit turns data scripts into shareable web apps in minutes. All in pure Python. No front‑end experience required.,Web Development,36000,,,,,,,https://user-images.githubusercontent.com/7164864/217935870-c0bc60a3-6fc0-4047-b011-7b4c59488c91.png
Gradio,https://www.gradio.app/,gradio,"Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere!",Web Development; Generative AI,35000,,,,,,,https://www.gradio.app/_app/immutable/assets/gradio.CHB5adID.svg
FastAPI,https://fastapi.tiangolo.com/,fastapi,"FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.",Web Development,,,,,,,,https://fastapi.tiangolo.com/img/icon-white.svg
Jupyter Notebooks,https://jupyter.org/,jupyter notebooks,"A staple in the data science community, Jupyter Notebooks facilitate the sharing of live code, visualizations, and narrative text, making them an invaluable tool for prototyping and experimentation.",Interactive Computing,,,,,,,,https://jupyter.org/assets/logos/rectanglelogo-greytext-orangebody-greymoons.svg
Weights & Biases,https://wandb.ai/,weights&biases,"This platform is crucial for teams working on generative AI projects, offering functionalities for tracking experiments, version controlling machine learning models, and generating collaborative reports.",Experiment Tracking,,,,,,,,https://site.wandb.ai/wp-content/uploads/2024/05/Horizontal-WB-logo.svg
FANN,https://github.com/libfann/fann,fann,"Fast Artificial Neural Network Library, or FANN, implements artificial neural networks in C (which is what makes it up to 150 times faster than other libraries) while making them accessible in a number of different languages, including Python.",Deep Learning,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ffnet,https://github.com/mrkwjc/ffnet,ffnet,ffnet is a Python AI library for implementing feed-forward neural networks. It uses a graphical user interface to visualize training datasets.,Deep Learning,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
SimpleCV,https://simplecv.org/,simplecv,"Where OpenCV focuses on comprehensiveness and customizability, SimpleCV focuses on making computer vision easy. The learning curve is much smaller to the point where getting images from a camera is as simple as initializing a camera (using Camera()) and getting its image (using Camera.getImage()). This Python AI library is a stellar choice for developers focused on common computer vision applications as opposed to highly customized solutions.",Computer Vision,,,,,,,,http://simplecv.org/assets/SM_logo_color.png
PyCLIPS,https://pypi.org/project/pyclips/,pyclips,"PyCLIPS provides an inference engine to Python applications. It provides a rules-based engine as binary modules inside the library that are accessed using classes and functions. The engine itself stays “alive” in a separate memory space to the Python space, so inferences and rules are persisted as your program grows in functionality.",Expert Systems,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Experta,https://pypi.org/project/experta/,experta,"Also inspired by CLIPS, Experta is a rule engine that pairs a set of facts with a set of rules based on those facts. Then, actions are executed based on these rules. All facts and rules are held by the implemented knowledge engine which determines the expert output of the system when it is called.",Expert Systems,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Theano,https://pypi.org/project/Theano/,theano,"A numerical computation library that allows you to define, optimize, and evaluate mathematical expressions.",Deep Learning Frameworks; Machine Learning Frameworks,9900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
MXNet,https://mxnet.apache.org/versions/1.9.1/,mxnet,A flexible and efficient deep learning framework designed for both efficiency and productivity.,Deep Learning Frameworks; Machine Learning Frameworks,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Dask,https://www.dask.org/,dask,A flexible parallel computing library for analytics that integrates with NumPy and Pandas.,Data Processing; Distributed Machine Learning,13000,,,,,,,https://cdn.prod.website-files.com/655926fa24195711dbf38624/655926fa24195711dbf38653_dask-header-logo.svg
PySpark,https://spark.apache.org/docs/latest/api/python/,pyspark,"The Python API for Apache Spark, enabling large-scale data processing.",Big Data Processing; Machine Learning Frameworks,40000,,,,,,,https://spark.apache.org/docs/latest/api/python/_static/spark-logo-reverse.png
TFLearn,https://tflearn.org/,tflearn,A deep learning library built on top of TensorFlow that provides a high-level API to build models easily.,Deep Learning Frameworks; Machine Learning Frameworks,9600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Chainer,https://chainer.org/,chainer,A flexible framework designed for deep learning that allows dynamic computation graphs.,Deep Learning Frameworks; Machine Learning Frameworks,5900,,,,,,,https://chainer.org/images/chainer_white_h.png
ONNX Runtime,https://onnxruntime.ai/,onnx runtime,An inference engine designed to run ONNX models efficiently across platforms.,Model Inference,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Pydantic,https://docs.pydantic.dev/latest/,pydantic,Data validation and settings management using Python type annotations.,Data Validation,,,,,,,,https://docs.pydantic.dev/latest/logo-white.svg
brick,https://www.scikit-yb.org/en/latest/,brick,A visual analysis and diagnostic tool for machine learning models.,Deep Learning Frameworks,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Shapely,https://shapely.readthedocs.io/en/stable/,shapely,A library for manipulation and analysis of planar geometric objects.,Geospatial Data,4000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
GeoPandas,https://geopandas.org/en/stable/,geopandas,An extension of Pandas to support spatial data operations.,Geospatial Data,4600,,,,,,,https://geopandas.org/en/stable/_static/geopandas_logo_web.svg
Folium,https://python-visualization.github.io/folium/,folium,A library for visualizing geospatial data on interactive maps.,Geospatial Data,7000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyWavelets,https://pywavelets.readthedocs.io/en/latest/,pywavelets,A library for wavelet transforms in Python.,Signal Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyOD,https://pyod.readthedocs.io/en/latest/,pyod,A comprehensive toolkit for detecting outlying objects in multivariate data.,Anomaly Detection,8700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Orange3,https://orangedatamining.com/,orange3,An open-source data visualization and analysis tool for both novice and expert users.,Data Mining,,,,,,,,https://orangedatamining.com/_next/static/media/logo-orange.faff1861.svg
Featuretools,https://featuretools.alteryx.com/en/stable/,featuretools,A library for automated feature engineering in machine learning.,Feature Engineering; Hyperparameter Optimization & AutoML,7300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
MLflow,https://mlflow.org/,mlflow,"An open-source platform to manage the ML lifecycle, including experimentation, reproducibility, and deployment.",Workflow & Experiment Tracking,19000,,,,,,,https://mlflow.org/img/mlflow-black.svg
Sacred,https://sacred.readthedocs.io/en/stable/quickstart.html,sacred,"A tool to help you configure, organize, log, and reproduce experiments.",Experiment Management; Workflow & Experiment Tracking,4300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Ray  ,https://www.ray.io/,ray  ,A high-performance distributed execution framework that makes it easy to scale applications across clusters.  ,Distributed Computing  ,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Horovod  ,https://horovod.readthedocs.io/en/stable/,horovod  ,A distributed deep learning training framework that makes it easy to scale TensorFlow and PyTorch models.  ,Distributed Deep Learning,,,,,,,,https://horovod.readthedocs.io/en/stable/_static/logo.png
Pygame  ,https://www.pygame.org/wiki/about,pygame  ,"A set of Python modules designed for writing video games, useful for AI in game development.  ",Game Development  ,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorFlow Probability  ,https://www.tensorflow.org/probability,tensorflow probability  ,A library for probabilistic reasoning and statistical analysis in TensorFlow.  ,Probabilistic Modeling  ,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Stable Baselines3  ,https://stable-baselines3.readthedocs.io/en/master/,stable baselines3  ,A set of reliable implementations of reinforcement learning algorithms based on PyTorch.  ,Reinforcement Learning  ,,,,,,,,https://stable-baselines3.readthedocs.io/en/master/_static/logo.png
Rasa  ,https://rasa.com/,rasa  ,An open-source machine learning framework for building contextual AI assistants and chatbots.  ,Natural Language Processing; Chatbots  ,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
AllenNLP  ,https://github.com/allenai/allennlp,allennlp  ,An open-source NLP research library built on PyTorch focused on deep learning models for NLP tasks.  ,Natural Language Processing  ,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Fairseq  ,https://fairseq.readthedocs.io/en/latest/,fairseq  ,A sequence-to-sequence learning toolkit for training custom models on various tasks in NLP.     ,Natural Language Processing     ,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
DeepPavlov     ,https://docs.deeppavlov.ai/en/master/,deeppavlov     ,An open-source library for building conversational AI systems with various pre-trained models.     ,Natural Language Processing; Chatbots     ,,,,,,,,https://docs.deeppavlov.ai/en/master/_static/deeppavlov.png
FastText      ,https://fasttext.cc/,fasttext      ,A library for efficient text classification and representation learning developed by Facebook AI Research.      ,Natural Language Processing      ,,,,,,,,https://fasttext.cc/img/fasttext-logo-color-web.png
Beautiful Soap,https://www.crummy.com/software/BeautifulSoup/bs4/doc/,beautiful soap,"A library for parsing HTML and XML documents, useful in web scraping.",Data Scraping,,,,,,,,https://www.crummy.com/software/BeautifulSoup/bs4/doc/_images/6.1.jpg
Requests,https://docs.python-requests.org/en/latest/,requests,A simple HTTP library for making requests to web services.,Web Development,,,,,,,,https://docs.python-requests.org/en/latest/_static/requests-sidebar.png
Pytest,https://pytest.org/en/latest/,pytest,A testing framework that makes building simple and scalable test cases easy.,Testing,,,,,,,,https://pytest.org/en/latest/_static/pytest1.png
Hypothesis,https://hypothesis.readthedocs.io/en/latest/,hypothesis,A library that allows you to write tests that are parameterized by example data.,Testing,,,,,,,,https://hypothesis.readthedocs.io/en/latest/_static/dragonfly-rainbow-150w.svg
Coverage,https://coverage.readthedocs.io/en/7.6.8/,coverage,A tool for measuring code coverage of Python programs.,Testing,,,,,,,,https://coverage.readthedocs.io/en/7.6.8/_static/sleepy-snake-circle-150.png
Panel,https://panel.holoviz.org/,panel,A high-level app and dashboarding solution for Python that works with the HoloViz ecosystem.,Web Development,,,,,,,,https://panel.holoviz.org/_static/logo_horizontal_light_theme.png
Pyramid,https://trypyramid.com/,pyramid,A lightweight Python web framework aimed at taking small applications into big ones easily.,Web Development,,,,,,,,https://trypyramid.com/img/pyramid-60x60.png
Django,https://www.djangoproject.com/,django,A high-level Python Web framework that encourages rapid development and clean design.,Web Development,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Falcon,https://falconframework.org/,falcon,A high-performance Python framework designed to build APIs quickly.,Web Development,,,,,,,,https://falconframework.org/assets/logo.svg
Tornado,https://www.tornadoweb.org/en/stable/,tornado,"A scalable, non-blocking web server and web application framework in Python.",Web Development,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Acme,https://acme-python.readthedocs.io/en/stable/,acme,A library for building reinforcement learning agents with a focus on research.,Reinforcement Learning,3600,,,,,,,https://github.com/google-deepmind/acme/raw/master/docs/imgs/acme.png
PyTorch Lightning Bolts,https://pytorch-lightning-bolts.readthedocs.io/en/latest/,pytorch lightning bolts,A collection of pre-built models and components for PyTorch Lightning.,Deep Learning,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
OpenAI Baselines,https://github.com/openai/baselines,openai baselines,High-quality implementations of reinforcement learning algorithms.,Reinforcement Learning,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Tesseract OCR,https://github.com/tesseract-ocr/tesseract,tesseract ocr,An optical character recognition (OCR) engine for extracting text from images.,Computer Vision,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
FastAPI Users,https://fastapi-users.github.io/fastapi-users/latest/,fastapi users,A user management system for FastAPI applications.,Web Development,,,,,,,,https://raw.githubusercontent.com/fastapi-users/fastapi-users/master/logo.svg?sanitize=true
Streamlit Components,https://docs.streamlit.io/develop/concepts/custom-components,streamlit components,A library for creating custom components in Streamlit applications.,Web Development,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Streamlit Authenticator,https://streamlit-authenticator.readthedocs.io/en/latest/,streamlit authenticator,A simple authentication solution for Streamlit apps.,Web Development,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Dask-ML,https://ml.dask.org/,dask-ml,A scalable machine learning library built on Dask to handle large datasets.,Distributed Machine Learning,910,,,,,,,https://ml.dask.org/_static/images/dask-horizontal-white.svg
Numba,https://numba.pydata.org/,numba,A just-in-time compiler that translates a subset of Python and NumPy code into fast machine code.,Optimization,,,,,,,,https://numba.pydata.org/_static/numba-blue-horizontal-rgb.svg
PyTorch Tabular,https://pytorch-tabular.readthedocs.io/en/latest/,pytorch tabular,A library for deep learning on tabular data with PyTorch.,Deep Learning,,,,,,,,https://pytorch-tabular.readthedocs.io/en/latest/imgs/pytorch_tabular_logo.png#only-light
LightGBM-Scikit-Learn Wrapper,https://lightgbm.readthedocs.io/en/latest/_modules/lightgbm/sklearn.html,lightgbm-scikit-learn wrapper,A wrapper to integrate LightGBM with Scikit-learn for easy model training.,Machine Learning Frameworks,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Keras Tuner,https://keras.io/keras_tuner/,keras tuner,An open-source library for hyperparameter tuning of Keras models.,Hyperparameter Optimization & AutoML,2900,,,,,,,https://keras.io/img/logo-small.png
PyTorch3D,https://pytorch3d.readthedocs.io/en/latest/,pytorch3d,A library for deep learning with 3D data.,Computer Vision; Image Data,9000,,,,,,,https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/.github/pytorch3dlogo.png
OpenMM,https://openmm.org/,openmm,A toolkit for molecular simulation that supports GPU acceleration.,Scientific Computing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Pydot,https://pypi.org/project/pydot/,pydot,A Python interface to Graphviz's Dot language for creating graphs.,Data Visualization,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Plotly Express,https://plotly.com/python/plotly-express/,plotly express,A high-level interface to Plotly for quick visualizations.,Data Visualization,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
SQLAlchemy,https://www.sqlalchemy.org/,sqlalchemy,The Python SQL toolkit and Object-Relational Mapping (ORM) system.,Database Management,,,,,,,,https://www.sqlalchemy.org/img/sqla_logo.png
NetworkX,https://networkx.org/,networkx,"A library for the creation, manipulation, and study of complex networks.",Graph Analysis; Graph Data,15000,,,,,,,https://networkx.org/_static/networkx_logo.svg
Pysparkling,https://pysparkling.readthedocs.io/en/latest/,pysparkling,An extension of PySpark that provides additional features and optimizations.,Data Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyTorch Geometric Temporal,https://pytorch-geometric-temporal.readthedocs.io/en/latest/modules/root.html,pytorch geometric temporal,An extension of PyTorch Geometric focused on temporal graph data.,Graph Neural Networks,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorFlow Federated,https://www.tensorflow.org/federated,tensorflow federated,A framework for machine learning and other computations on decentralized data.,Machine Learning Frameworks,,,,,,,,https://www.gstatic.com/devrel-devsite/prod/v870e399c64f7c43c99a3043db4b3a74327bb93d0914e84a0c3dba90bbfd67625/tensorflow/images/lockup.svg
SpaCy Transformers,https://spacy.io/universe/project/spacy-transformers,spacy transformers,An extension of SpaCy that integrates transformer-based models like BERT and RoBERTa.,Natural Language Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Haystack,https://haystack.deepset.ai/overview/intro,haystack,"Haystack is an open source framework for building production-ready LLM applications, retrieval-augmented generative pipelines and state-of-the-art search systems that work intelligently over large document collections. ",Natural Language Processing; Text Data & NLP,18000,,,,,,,https://raw.githubusercontent.com/deepset-ai/haystack/main/docs/img/banner_20.png
DeepSpeed,https://www.deepspeed.ai/,deepspeed,A deep learning optimization library that enables training large models efficiently.,Deep Learning; Distributed Machine Learning,36000,,,,,,,https://www.deepspeed.ai/assets/images/deepspeed-logo-uppercase-bold-white-1.15.svg
MindsDB ,https://mindsdb.com/,mindsdb,An open-source tool to build AI models directly in databases using SQL queries.,Machine Learning Frameworks,27000,,,,,,,https://cdn.prod.website-files.com/62a8755be8bcc86e6307def8/6329b27b3fc044f886326c4e_mindsDB-full%20logo.svg
Hugging Face Datasets,https://huggingface.co/docs/datasets/index,huggingfacedatasets,A library to easily access and share datasets in various formats.,Data Management,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PaddlePaddle,https://www.paddlepaddle.org.cn/en,PaddlePaddle,"An easy-to-use deep learning platform developed by Baidu, focusing on industrial applications.",Deep Learning;Machine Learning Frameworks,22000,,,,,,,https://paddlepaddle-org-cn.cdn.bcebos.com/paddle-international-site-web/static/media/logo.42424ce5.png
Triton ,https://openai.com/index/triton/,Triton ,A programming language and compiler designed to make writing high-performance GPU code easier.,Deep Learning; Model Serialization & Deployment,14000,,,,,,,https://images.ctfassets.net/kftzwdyauwt9/cdce1ebd-19a2-4848-a08ec8c44e18/55b924fc6628318148b7c5c4902551e7/image-18.webp?w=1920&q=90&fm=webp
Kornia,https://kornia.readthedocs.io/en/latest/,kornia,"A differentiable computer vision library built on PyTorch, enabling image processing operations in neural networks.",Computer Vision; Image Data,10000,,,,,,,https://kornia.readthedocs.io/en/latest/_static/img/kornia_logo_only_light.svg
CausalML ,https://causalml.readthedocs.io/en/latest/,CausalML ,A Python package that implements causal inference algorithms for machine learning tasks.,Machine Learning Frameworks,5200,,,,,,,https://causalml.readthedocs.io/en/latest/_static/causalml_logo_square_transparent.png
GPyOpt,https://sheffieldml.github.io/GPyOpt/,GPyOpt,A Gaussian process-based optimization library designed to optimize expensive black-box functions.,Machine Learning; Hyperparameter Optimization & AutoML,940,,,,,,,https://sheffieldml.github.io/GPyOpt/img/avatar-icon.png
PyMC3 ,https://www.pymc.io/projects/docs/en/stable/learn.html,PyMC3 ,A probabilistic programming framework that allows users to build Bayesian models using Markov chain Monte Carlo methods.,Deep Learning; Probabilistic Programming; Probabilistics & Statistics,8800,,,,,,,https://www.pymc.io/projects/docs/en/stable/_static/PyMC.jpg
PyWhy,https://www.pywhy.org/,PyWhy,"We build and host interoperable libraries, tools, and other resources spanning a variety of causal tasks and applications, connected through a common API on foundational causal operations and a focus on the end-to-end analysis process.",Machine Learning Frameworks,,,,,,,,https://www.pywhy.org/assets/pywhy-logo.png
CausalInference ,https://pypi.org/project/CausalInference/,CausalInference ,A package designed for causal inference analysis using statistical methods in Python.,Deep Learning,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Lifelines ,https://lifelines.readthedocs.io/en/stable/,Lifelines ,A survival analysis library that provides tools to analyze time-to-event data.,Deep Learning; Medical Data,2400,,,,,,,https://i.imgur.com/EOowdSD.png
NeuralProphet ,https://neuralprophet.com/,NeuralProphet ,A forecasting tool based on Facebook's Prophet with neural network capabilities.,Neural Networks;Deep Learning; Time Series Data,3900,,,,,,,https://neuralprophet.com/_static/np_highres.svg
Pandas Profiling,https://docs.profiling.ydata.ai/latest/,Pandas Profiling,"Generates profile reports from a pandas DataFrame, providing insights into the dataset's structure and statistics.",Machine Learning Frameworks; Data Analysis,,,,,,,,https://assets.ydata.ai/oss/ydata-profiling_red.png
PyCaret Time Series,https://pycaret.readthedocs.io/en/latest/api/time_series.html,PyCaret Time Series,An extension of PyCaret focused on time series analysis and forecasting tasks.,Machine Learning Frameworks,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Darts,https://pypi.org/project/darts/0.11.0/,darts,A Python library for easy manipulation and forecasting of time series data using various models.,Machine Learning Frameworks; Time Series Data,8200,,,,,,,https://github.com/unit8co/darts/raw/master/static/images/darts-logo-trim.png
Shap,https://shap.readthedocs.io/en/latest/,shap,A unified approach to explain the output of any machine learning model using Shapley values.,Machine Learning Frameworks; Explainable AI; Model Interpretability,23000,,,,,,,https://shap.readthedocs.io/en/latest/_images/shap_header.png
Fairlearn ,https://fairlearn.org/,Fairlearn ,A toolkit that helps assess and improve fairness in machine learning models.,Machine Learning Frameworks; Explainable AI; Model Interpretability,2000,,,,,,,https://fairlearn.org/images/fairlearn_logo.svg
Rasa NLU,https://pypi.org/project/rasa-nlu/,Rasa NLU,An open-source natural language understanding tool built on Rasa framework.,Natural Language Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ChainerRL,https://chainerrl.readthedocs.io/en/latest/,ChainerRL,"A reinforcement learning framework built on Chainer, supporting various RL algorithms.",Deep Learning; Reinforcement Learning,1200,,,,,,,https://raw.githubusercontent.com/chainer/chainerrl/master/assets/ChainerRL.png
DeepPavlov Agent,https://deeppavlov-agent.readthedocs.io/en/latest/,DeepPavlov Agent,An agent framework within DeepPavlov designed for building conversational agents.,Natural Language Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Lightwood ,https://pypi.org/project/lightwood/0.12.2/,Lightwood ,"An automated machine learning framework that simplifies the ML workflow, focusing on ease of use.",Machine Learning; Hyperparameter Optimization & AutoML,460,,,,,,,https://github.com/mindsdb/lightwood/raw/main/assets/lightwood.png
SymPy ,https://www.sympy.org/en/index.html,SymPy ,SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python.,Scientific Computing; Numerical Processing,13000,,,,,,,https://www.sympy.org/static/images/logo.png
CuPy ,https://cupy.dev/,CuPy ,"CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture",Scientific Computing; Numerical Processing; GPU & Accelerator Utilities,9700,,,,,,,https://cupy.dev/images/cupy.png
NumExpr ,https://numexpr.readthedocs.io/en/latest/,NumExpr ,A fast numerical expression evaluator for NumPy arrays.,Scientific Computing; Numerical Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Numpy-ML,https://numpy-ml.readthedocs.io/en/latest/,Numpy-ML,"numpy-ml is a growing collection of machine learning models, algorithms, and tools written exclusively in NumPy and the Python standard library.",Scientific Computing; Numerical Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Surprise  ,https://surpriselib.com/,Surprise  ,Surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data.,Machine Learning Frameworks,,,,,,,,https://surpriselib.com/logo_white.svg
Shogun  ,https://www.shogun-toolbox.org/,Shogun  ,An open-source machine learning library providing a unified interface to various algorithms.,Machine Learning Frameworks,3000,,,,,,,https://www.shogun-toolbox.org/media/images/shogun_logo.png
Vowpal Wabbit,https://vowpalwabbit.org/,Vowpal Wabbit,An open-source fast online learning system that supports various machine learning tasks.,Machine Learning Frameworks,8500,,,,,,,https://vowpalwabbit.org/assets/images/hero/rabbit.svg
StanfordNLP ,https://stanfordnlp.github.io/stanfordnlp/,StanfordNLP ,A suite of tools for natural language processing developed by Stanford University.,Natural Language Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Flair ,https://flairnlp.github.io/flair/,Flair ,A simple NLP framework built on top of PyTorch that allows you to apply state-of-the-art natural language processing techniques easily.,Natural Language Processing; Text Data & NLP,14000,,,,,,,https://flairnlp.github.io/img/flavicon.png
Hugging Face Tokenizers,https://huggingface.co/docs/tokenizers/en/index,Hugging Face Tokenizers,A fast tokenizer implementation designed to work seamlessly with Hugging Face's Transformers library.,Natural Language Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
scikit-image,https://scikit-image.org/,scikit-image,"scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers.",Computer Vision; Image Data,6200,,,,,,,https://scikit-image.org/_static/img/logo.png
ImageIO,https://imageio.readthedocs.io/en/stable/,ImageIO,"Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats.",Computer Vision; Image Data,1500,,,,,,,https://imageio.readthedocs.io/en/stable/_static/imageio_logo.png
pgmagick,https://pgmagick.readthedocs.io/en/latest/,pgmagick,pgmagick is a GraphicsMagick(Magick++) binding for Python.,Computer Vision,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
imgaug,https://imgaug.readthedocs.io/en/latest/,imgaug,"imgaug is a library for image augmentation in machine learning experiments. It supports a wide range of augmentation techniques, allows to easily combine these and to execute them in random order or on multiple CPU cores, has a simple yet powerful stochastic interface and can not only augment images, but also keypoints/landmarks, bounding boxes, heatmaps and segmentation maps.",Computer Vision; Image Data,14000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Albumentations ,https://albumentations.ai/,albumentations ,Albumentations is a computer vision tool that boosts the performance of deep convolutional neural networks.,Computer Vision; Image Data,14000,,,,,,,https://albumentations.ai/favicon.png
Gymnasium,https://gymnasium.farama.org/,Gymnasium,"Gymnasium is a maintained fork of OpenAI’s Gym library. The Gymnasium interface is simple, pythonic, and capable of representing general RL problems, and has a compatibility wrapper for old Gym environments",Reinforcement Learning,,,,,,,,https://gymnasium.farama.org/_static/img/gymnasium_black.svg
Dopamine,https://pypi.org/project/dopamine-rl/1.0.4/,dopamine,"Dopamine is a research framework for fast prototyping of reinforcement learning
algorithms. It aims to fill the need for a small, easily grokked codebase in
which users can freely experiment with wild ideas (speculative research).",Reinforcement Learning,11000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Coach,https://intellabs.github.io/coach/,coach,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms,Reinforcement Learning,2300,,,,,,,https://intellabs.github.io/coach/_static/dark_logo.png
Netron,https://netron.app/,netron,"Visualizer for neural network, deep learning and machine learning models",Neural Network Visualization; Model Interpretability,29000,,,,,,,https://github.com/lutzroeder/netron/raw/main/.github/logo-light.svg#gh-light-mode-only
TensorBoard ,https://www.tensorflow.org/tensorboard/get_started,TensorBoard ,"TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics like loss and accuracy, visualizing the model graph, projecting embeddings to a lower dimensional space, and much more.",Neural Network Visualization;Workflow & Experiment Tracking,6800,,,,,,,https://www.gstatic.com/devrel-devsite/prod/v870e399c64f7c43c99a3043db4b3a74327bb93d0914e84a0c3dba90bbfd67625/tensorflow/images/lockup.svg
PlotNeuralNet,https://github.com/HarisIqbal88/PlotNeuralNet,PlotNeuralNet,Latex code for making neural networks diagrams,Neural Network Visualization,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
NN-SVG,https://github.com/alexlenail/NN-SVG,NN-SVG,"NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages.",Neural Network Visualization,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
keras-vis,https://raghakot.github.io/keras-vis,kers-vis,keras-vis is a high-level toolkit for visualizing and debugging your trained keras neural net models.,Neural Network Visualization; Model Interpretability,3000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
DeepViz,https://github.com/bruckner/deepViz,DeepViz,Visualization tools for deep convolutional networks,Neural Network Visualization,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Synapses,https://pypi.org/project/synapses-py/,Synapses,A lightweight library for neural networks that runs anywhere.,Neural Network Visualization,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
NEURON ,https://pypi.org/project/NEURON/,neuron,"NEURON is a simulator for models of neurons and networks of neuron. See http://neuron.yale.edu for installers, source code, documentation, tutorials, announcements of courses and conferences, and a discussion forum.",Neural Network Visualization,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Prophet,https://facebook.github.io/prophet,prophet,"Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality",Time Series Analysis; Time Series Data,19000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pmdarima,https://pypi.org/project/pmdarima/,pmdarima,An auto ARIMA time series forecasting tool built on top of statsmodels,Time Series Analysis; Time Series Data,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tsfresh,https://tsfresh.readthedocs.io/en/latest/,tsfresh,"tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. Further the package contains methods to evaluate the explaining power and importance of such characteristics for regression or classification tasks.",Time Series Analysis; Time Series Data,8500,,,,,,,https://tsfresh.readthedocs.io/en/latest/_images/tsfresh_logo.svg
tslearn,https://tslearn.readthedocs.io/en/stable/,tslearn,"tslearn is a Python package that provides machine learning tools for the analysis of time series. This package builds on (and hence depends on) scikit-learn, numpy and scipy libraries.",Time Series Analysis; Time Series Data,2900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyFlux,https://pyflux.readthedocs.io/en/latest/,PyFlux,"PyFlux is a library for time series analysis and prediction. Users can choose from a flexible range of modelling and inference options, and use the output for forecasting and retrospection. ",Time Series Analysis; Time Series Data,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Luminaire,https://github.com/zillow/luminaire,Luminaire,Luminaire is a python package that provides ML-driven solutions for monitoring time series data. Luminaire provides several anomaly detection and forecasting capabilities that incorporate correlational and seasonal patterns as well as uncontrollable variations in the data over time.,Time Series Analysis,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ARCH,https://arch.readthedocs.io/en/stable/univariate/introduction.html,arch,ARCH models are a popular class of volatility models that use observed values of returns or residuals as volatility shocks.,Financial Data,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Statsforecast,https://nixtlaverse.nixtla.io/statsforecast,statsforecast,"StatsForecast offers a collection of widely used univariate time series forecasting models, including automatic ARIMA, ETS, CES, and Theta modeling optimized for high performance using numba. It also includes a large battery of benchmarking models.",Time Series Analysis; Time Series Data,4100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Edward,https://edwardlib.org/,Edward,"Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. ",Probabilistic Programming; Probabilistics & Statistics,4800,,,,,,,https://edwardlib.org/images/edward.png
Pyro,https://pyro.ai/,Pyro,"Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. Pyro enables flexible and expressive deep probabilistic modeling, unifying the best of modern deep learning and Bayesian modeling. ",Probabilistic Programming; Probabilistics & Statistics,8600,,,,,,,https://pyro.ai/img/pyro_logo.png
Stan,"https://mc-stan.org/#:~:text=Stan%20is%20a%20state%2Dof,and%20high%2Dperformance%20statistical%20computation.",Stan,"Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Many thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.",Probabilistic Programming,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorFlow Probability,https://www.tensorflow.org/probability,TensorFlow Probability,"TensorFlow Probability (TFP) is a Python library built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware (TPU, GPU). It's for data scientists, statisticians, ML researchers, and practitioners who want to encode domain knowledge to understand data and make predictions.",Probabilistic Programming,,,,,,,,https://www.gstatic.com/devrel-devsite/prod/v6f23042ee535b54d461e0cc5c1cc12493e4d0aea4f2d54a7a63063da7859ead0/tensorflow/images/lockup.svg
PyStan,https://mc-stan.org/users/interfaces/pystan,pystan,"PyStan provides a Python interface to Stan, a package for Bayesian inference using the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo.",Probabilistic Programming; Probabilistics & Statistics,340,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Emcee,https://emcee.readthedocs.io/en/stable/,Emcee,emcee is an MIT licensed pure-Python implementation of Goodman & Weare’s Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler and these pages will show you how to use it.,Probabilistic Programming; Probabilistics & Statistics,1500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ZhuSuan,https://zhusuan.readthedocs.io/en/latest/,ZhuSuan,"ZhuSuan is a python probabilistic programming library for Bayesian deep learning, which conjoins the complimentary advantages of Bayesian methods and deep learning. ZhuSuan is built upon Tensorflow. ",Probabilistic Programming; Probabilistics & Statistics,2200,,,,,,,https://zhusuan.readthedocs.io/en/latest/_static/zhusuan-logo-v.svg
Librosa,https://librosa.org/doc/latest/index.html,Librosa,librosa is a python package for music and audio analysis. It provides the building blocks necessary to create music information retrieval systems.,Audio Processing,7300,,,,,,,https://librosa.org/doc/latest/_static/librosa_logo_text.svg
PyAudio,https://pypi.org/project/PyAudio/,PyAudio,"PyAudio provides Python bindings for PortAudio v19, the cross-platform audio I/O library. With PyAudio, you can easily use Python to play and record audio on a variety of platforms, such as GNU/Linux, Microsoft Windows, and Apple macOS.",Audio Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
SoundFile,https://python-soundfile.readthedocs.io/en/0.11.0/,SoundFile,"The soundfile module is an audio library based on libsndfile, CFFI and NumPy",Audio Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
AudioSet,https://pypi.org/project/audioset-download/,AudioSet,Large-scale dataset containing audio events used extensively in audio classification tasks,Audio Processing,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
python_speech_features,https://python-speech-features.readthedocs.io/en/latest/,python_speech_features,Provides functions needed to extract features from audio signals such as MFCCs,Audio Processing,2400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
SpeechRecognition ,https://realpython.com/python-speech-recognition/,SpeechRecognition ,The SpeechRecognition library acts as a wrapper for several popular speech APIs and is thus extremely flexible.,Audio Processing,8500,,,,,,,"https://realpython.com/cdn-cgi/image/width=960,format=auto/https://files.realpython.com/media/The-Ultimate-Guide-To-Speech-Recognition-With-Python_Watermarked.c0511baf27ba.jpg"
PyDub ,https://pydub.com/,PyDub ,"Simple audio manipulation capabilities including cutting, concatenating, or exporting different formats ",Audio Processing,9100,,,,,,,http://github.com/images/modules/download/zip.png
Kaldi ,https://kaldi-asr.org/,Kaldi ,Toolkit providing speech recognition capabilities through various features like GMM-HMM based systems,Audio Processing,,,,,,,,https://kaldi-asr.org/kaldi_text_and_logo.png
LIME ,https://lime-ml.readthedocs.io/en/latest/,LIME ,Local Interpretable Model-Agnostic Explanations enabling users to interpret black-box models easily,Explainable AI; Model Interpretability,12000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Captum ,https://captum.ai/,Captum ,Library providing model interpretability capabilities within PyTorch frameworks easily,Explainable AI; Model Interpretability,5000,,,,,,,https://github.com/pytorch/captum/raw/master/website/static/img/captum_logo.png
InterpretML ,https://interpret.ml/,InterpretML ,"Model interpretability helps developers, data scientists and business stakeholders in the organization gain a comprehensive understanding of their machine learning models. It can also be used to debug models, explain predictions and enable auditing to meet compliance with regulatory requirements.",Explainable AI; Model Interpretability,6300,,,,,,,https://interpret.ml/images/nav-logo.png
Alibi ,https://docs.seldon.io/projects/alibi/en/latest/,Alibi ,"Alibi Explain is an open source Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models.",Explainable AI; Model Interpretability,2400,,,,,,,https://docs.seldon.io/projects/alibi/en/latest/_images/Alibi_Explain_Logo_rgb.png
Skope-rules,https://skope-rules.readthedocs.io/,Skope-rules,"Skope-rules aims at learning logical, interpretable rules for ""scoping"" a target class, ie detecting with high precision instances of this class.",Explainable AI; Sklearn Utilities,630,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
AIX360 ,https://aix360.readthedocs.io/en/latest/,AIX360 ,The AI Explainbability 360 toolkit is an open-source library that supports interpretability and explainability of data and machine learning models. The AI Explainability 360 Python package includes a comprehensive set of algorithms that cover different dimensions of explanations along with proxy explainability metrics.,Explainable AI,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Aequitas ,https://pypi.org/project/aequitas/,Aequitas ,"aequitas is an open-source bias auditing and Fair ML toolkit for data scientists, machine learning researchers, and policymakers.",Explainable AI; Model Interpretability,700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PydanticAI,https://ai.pydantic.dev/,pydanticai,PydanticAI is a Python Agent Framework designed to make it less painful to build production grade applications with Generative AI.,Generative AI; LLM,,,,,,,,https://ai.pydantic.dev/img/pydantic-ai-light.svg#only-light
aisuite,https://github.com/andrewyng/aisuite,aisuite,"aisuite makes it easy for developers to use multiple LLM through a standardized interface. Using an interface similar to OpenAI's, aisuite makes it easy to interact with the most popular LLMs and compare the results. It is a thin wrapper around python client libraries, and allows creators to seamlessly swap out and test responses from different LLM providers without changing their code.",LLM; Machine Learning,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
OmniXAI,https://github.com/salesforce/OmniXAI,OmniXAI,"OmniXAI (short for Omni eXplainable AI) is a Python machine-learning library for explainable AI (XAI), offering omni-way explainable AI and interpretable machine learning capabilities to address many pain points in explaining decisions made by machine learning models in practice. OmniXAI aims to be a one-stop comprehensive library that makes explainable AI easy for data scientists, ML researchers and practitioners who need explanation for various types of data, models and explanation methods at different stages of ML process",Explainable AI; Machine Learning Frameworks,,Explainable AI; Machine Learning,Explainable AI; Machine Learning,Explainable AI; Machine Learning,Explainable AI; Machine Learning,Explainable AI; Machine Learning,Explainable AI; Machine Learning,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
iml,https://github.com/interpretable-ml/iml,iml,"The iml library provides tools for interpretable machine learning, including interfaces for SHAP and LIME, facilitating model interpretation.",Explainable AI; Machine Learning Frameworks,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
interpret-text,https://github.com/interpretml/interpret-text,interpret-text,"Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models.",Explainable AI; Machine Learning Frameworks; Model Interpretability,420,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
BreakDown,https://pypi.org/project/breakdown/,BreakDown,Breakdown is a lightweight python webserver that parses jinja2 templates. It’s intended to be used by designers for doing rapid prototyping.,Explainable AI; Machine Learning Frameworks,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
XAI,https://ethical.institute/principles.html#commitment-3,XAI,"XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for analysis and evaluation of data and models. The XAI library is maintained by The Institute for Ethical AI & ML, and it was developed based on the 8 principles for Responsible Machine Learning.",Explainable AI; Machine Learning Frameworks; Model Interpretability,1100,,,,,,,https://ethical.institute/images/logos/eml-logo-white.png
Anchors,https://github.com/marcotcr/anchor,Anchors,"This repository has code for the paper High-Precision Model-Agnostic Explanations.
An anchor explanation is a rule that sufficiently “anchors” the prediction locally – such that changes to the rest of the feature values of the instance do not matter. In other words, for instances on which the anchor holds, the prediction is (almost) always the same.",Explainable AI; Machine Learning Frameworks,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Shapash,https://shapash.readthedocs.io/en/latest/,Shapash,"Shapash is a Python library designed to make machine learning interpretable and accessible to everyone. It offers various visualization types with clear and explicit labels that are easy to understand. This enables Data Scientists to better comprehend their models and share their findings, while end users can grasp the decisions made by a model through a summary of the most influential factors. Shapash was developed by MAIF Data Scientists.",Explainable AI; Machine Learning Frameworks; Model Interpretability,2800,,,,,,,https://shapash.readthedocs.io/en/latest/_images/shapash-resize.png
PandasAI,https://docs.pandas-ai.com/intro,pandasai,"PandasAI is a Python library that makes it easy to ask questions to your data in natural language. Beyond querying, PandasAI offers functionalities to visualize data through graphs, cleanse datasets by addressing missing values, and enhance data quality through feature generation, making it a comprehensive tool for data scientists and analysts.",Natural Language Processing; Data Manipulation; Data Analysis; Machine Learning Frameworks,,,,,,,,https://github.com/Sinaptik-AI/pandas-ai/blob/main/assets/logo.png?raw=true
BAML,https://github.com/BoundaryML/baml,baml,"BAML is a domain-specific language to write and test LLM functions.
An LLM function is a prompt template with some defined input variables, and a specific output type like a class, enum, union, optional string, etc.
BAML LLM functions plug into python, TS, and other languages, which makes it easy to focus more on engineering and less on prompting.",LLM,,,,,,,,https://tryolabs.imgix.net/assets/blog/top-python-libraries-2024/Python%20Lib%20-%20Baml%20logo-ca73355f2c.png?auto=format&fit=max&w=3840
marimo,https://marimo.io/,marimo,"marimo is a reactive Python notebook: run a cell or interact with a UI element, and marimo automatically runs dependent cells (or marks them as stale), keeping code and outputs consistent. marimo notebooks are stored as pure Python, executable as scripts, and deployable as apps.",Machine Learning Frameworks; Data Analysis,,,,,,,,https://marimo.io/logotype-wide.svg
OpenHands ,https://www.all-hands.dev/,openhands,"OpenHands is a platform for software development agents powered by AI.
OpenHands agents can do anything a human developer can: modify code, run commands, browse the web, call APIs, and yes—even copy code snippets from StackOverflow.",AI Agents,,,,,,,,https://github.com/All-Hands-AI/OpenHands/raw/main/docs/static/img/logo.png
Crawl4AI,https://crawl4ai.com/mkdocs/,Crawl4AI,"Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. It delivers blazing-fast, AI-ready web crawling tailored for LLMs, AI agents, and data pipelines. Open source, flexible, and built for real-time performance, Crawl4AI empowers developers with unmatched speed, precision, and deployment ease.",Web Scraping,,,,,,,,https://tryolabs.imgix.net/assets/blog/top-python-libraries-2024/Python%20Lib%20-%20Crawl4ai-99068eb699.png?auto=format&fit=max&w=3840
LitServe ,https://lightning.ai/docs/litserve/home,LitServe ,"Flexible, high-throughput serving engine for AI models.
LitServe is a flexible serving engine for AI models built on FastAPI. Features like batching, streaming, and GPU autoscaling eliminate the need to rebuild a FastAPI server per model.",LLM; Machine Learning,,,,,,,,https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/app-2/litserve-dark.svg
Mirascope,https://mirascope.com/,Mirascope,"Mirascope is a powerful, flexible, and user-friendly library that simplifies the process of working with LLMs through a unified interface that works across various supported providers, including OpenAI, Anthropic, Mistral, Gemini, Groq, Cohere, LiteLLM, Azure AI, Vertex AI, and Bedrock.",LLM,,,,,,,,https://mirascope.com/assets/brandmark.svg
Docling,https://github.com/DS4SD/docling,docling,"Docling, an open-source marvel from IBM, streamlines the often-daunting process of parsing and extracting data from an array of document formats. Whether you’re working with PDFs, DOCX files, Excel spreadsheets, or Markdown, Docling’s robust parsing engine turns messy, unstructured files into clean, machine-readable formats.",Data Processing; Generative AI,,,,,,,,https://tryolabs.imgix.net/assets/blog/top-python-libraries-2024/Python%20Lib%20-%20Docling-c83e0def7c.png?auto=format&fit=max&w=3840
Surya,https://www.datalab.to/,surya,"Surya focuses on mastery in document OCR and text recognition, offering unparalleled performance in over 90 languages. Named after the Hindu sun god for its ""universal vision"", Surya excels at extracting text from scanned images, PDFs, and other visual formats with precision that rivals commercial solutions like Google Cloud Vision.",Data Processing,,,,,,,,https://www.datalab.to/static/images/datalab_hero2.webp
DataChain,https://docs.datachain.ai/,datachain,"DataChain is a Python-based AI-data warehouse for transforming and analyzing unstructured data like images, audio, videos, text and PDFs. It integrates with external storage (e.g. S3, GCP, Azure, HuggingFace) to process data efficiently without data duplication and manages metadata in an internal database for easy and efficient querying.",Data Management; Data Processing,,,,,,,,https://docs.datachain.ai/assets/datachain.svg
Narwhals,https://narwhals-dev.github.io/narwhals/,narwhals,Extremely lightweight and extensible compatibility layer between dataframe libraries.,Data Science,,,,,,,,https://narwhals-dev.github.io/narwhals/assets/image.png
pytorch-lightning,https://lightning.ai/,pytorch-lightning,"Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.",Machine Learning Frameworks,29000,,,,,,,https://lightning.ai/static/media/logo-with-text-dark.bdcfdf86bccb9812ed1d3ec873e9e771.svg
PyFlink,https://github.com/apache/flink,PyFlink,Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities.,Machine Learning Frameworks,24000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Flax,https://flax.readthedocs.io/,Flax,Flax is a neural network library for JAX that is designed for flexibility.,Machine Learning Frameworks,6200,,,,,,,https://raw.githubusercontent.com/google/flax/main/images/flax_logo_250px.png
Jina,https://jina.ai/serve,Jina,Build multimodal AI applications with cloud-native stack.,Machine Learning Frameworks,21000,,,,,,,https://jina.ai/serve/_static/logo-light.svg
einops,https://einops.rocks/,einops,Flexible and powerful tensor operations for readable and reliable code..,Machine Learning Frameworks,8600,,,,,,,https://github.com/arogozhnikov/einops/actions/workflows/run_tests.yml/badge.svg
Ignite,https://pytorch-ignite.ai/,Ignite,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,Machine Learning Frameworks,4600,,,,,,,https://github.com/pytorch/ignite/raw/master/assets/logo/ignite_logo_mixed.svg
mlpack,https://www.mlpack.org/,mlpack,"mlpack: a fast, header-only C++ machine learning library.",Machine Learning Frameworks,5200,,,,,,,https://www.mlpack.org/img/mlpack-logo.svg
Thinc,https://thinc.ai/,Thinc,"Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet.",Machine Learning Frameworks,2800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Ludwig,https://ludwig.ai/,Ludwig,Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks.,Machine Learning Frameworks,11000,,,,,,,https://github.com/ludwig-ai/ludwig-docs/raw/master/docs/images/ludwig_hero_smaller.jpg
Haiku,https://dm-haiku.readthedocs.io/,Haiku,JAX-based neural network library.,Machine Learning Frameworks,2900,,,,,,,https://github.com/deepmind/dm-haiku/workflows/pytest/badge.svg
skorch,https://github.com/skorch-dev/skorch,skorch,A scikit-learn compatible neural network library that wraps PyTorch,Machine Learning Frameworks,5900,,,,,,,https://github.com/skorch-dev/skorch/raw/master/assets/skorch_bordered.svg
tensorflow-upstream,https://tensorflow.org/,tensorflow-upstream,TensorFlow ROCm port,Machine Learning Frameworks,690,,,,,,,https://www.gstatic.com/devrel-devsite/prod/v2c0608cfe9941cacf4435921a2ece588be3719df069d9fba67130a84e4743128/tensorflow/images/lockup.svg
Determined,https://determined.ai/,Determined,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.",Machine Learning Frameworks,3100,,,,,,,https://www.determined.ai/assets/images/R4_Logo-Reversed.svg
Geomstats,https://geomstats.ai/,Geomstats,Computations and statistics on manifolds with geometric structures.,Machine Learning Frameworks,1300,,,,,,,https://github.com/geomstats/geomstats/raw/main/logo.png
NuPIC,https://numenta.org/,NuPIC,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.",Machine Learning Frameworks,6300,,,,,,,https://b2928487.smushcdn.com/2928487/wp-content/uploads/2022/10/Homepage-brain-1024x812.png?lossy=1&strip=1&webp=1
Neural Network Libraries,https://nnabla.org/,Neural Network Libraries,Neural Network Libraries.,Machine Learning Frameworks,2700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ktrain,https://github.com/amaiya/ktrain,ktrain,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply,Machine Learning Frameworks,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pyRiemann,https://pyriemann.readthedocs.io/,pyRiemann,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python,Machine Learning Frameworks,650,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Towhee,https://towhee.io/,Towhee,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,Machine Learning Frameworks,3300,,,,,,,https://github.com/towhee-io/towhee/raw/main/towhee_logo.png#gh-light-mode-only
Neural Tangents,https://iclr.cc/virtual_2020/poster_SklD9yrFPS.html,Neural Tangents,Fast and Easy Infinite Neural Networks in Python.,Machine Learning Frameworks,2300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
fklearn,https://github.com/nubank/fklearn,fklearn,fklearn: Functional Machine Learning.,Machine Learning Frameworks,1500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Runhouse,https://run.house/,Runhouse,"Dispatch and distribute your ML training to ""serverless"" clusters in Python, like PyTorch for ML infra. Iterable, debuggable, multi-cloud/on-prem, identical across research and production.",Machine Learning Frameworks,990,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ThunderSVM,https://github.com/Xtra-Computing/thundersvm,ThunderSVM,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,Machine Learning Frameworks,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
mace,https://github.com/XiaoMi/mace,mace,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,Machine Learning Frameworks,5000,,,,,,,https://github.com/XiaoMi/mace/raw/master/docs/mace-logo.png
Objax,https://github.com/google/objax,Objax,Objax is an open source machine learning framework that accelerates research and learning thanks to a minimalist object-oriented design and a readable code base. I,Machine Learning Frameworks,770,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
chefboost,https://github.com/serengil/chefboost,chefboost,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python",Machine Learning Frameworks,460,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
NeoML,https://www.abbyy.com/neoml/,NeoML,"NeoML is an end-to-end machine learning framework that allows you to build, train, and deploy ML models. This framework is used by ABBYY engineers for computer vision and natural language processing tasks, including image preprocessing, classification, document layout analysis, OCR, and data extraction from structured and unstructured documents.",Machine Learning Frameworks,770,,,,,,,https://github.com/neoml-lib/neoml/raw/master/NeoML/docs/images/NeoML_logo.png
ThunderGBM,https://github.com/Xtra-Computing/thundergbm,ThunderGBM,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,Machine Learning Frameworks,700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Altair,https://altair-viz.github.io/,Altair,Declarative visualization library for Python.,Data Visualization,9500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pyecharts,https://pyecharts.org/,pyecharts,Python Echarts Plotting Library.,Data Visualization,15000,,,,,,,https://user-images.githubusercontent.com/19553554/71825144-2d568180-30d6-11ea-8ee0-63c849cfd934.png
PyVista,https://docs.pyvista.org/,PyVista,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK),Data Visualization,2800,,,,,,,https://github.com/pyvista/pyvista/raw/main/doc/source/_static/pyvista_banner_small.png
pandas-profiling,https://docs.profiling.ydata.ai/,pandas-profiling,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,Data Visualization,13000,,,,,,,https://github.com/ydataai/pandas-profiling/actions/workflows/tests.yml/badge.svg?branch=master
FiftyOne,https://fiftyone.ai/,FiftyOne,"Visualize, create, and debug image and video datasets.",Data Visualization,9000,,,,,,,https://user-images.githubusercontent.com/25985824/106288517-2422e000-6216-11eb-871d-26ad2e7b1e59.png
HoloViews,https://holoviews.org/,HoloViews,"With Holoviews, your data visualizes itself.",Data Visualization,2700,,,,,,,https://holoviews.org/_static/logo_horizontal.png
plotnine,https://plotnine.org/,plotnine,A Grammar of Graphics for Python.,Data Visualization,4100,,,,,,,https://github.com/has2k1/plotnine/raw/logos/doc/images/logo-512.png?raw=true
PyQtGraph,https://www.pyqtgraph.org/,PyQtGraph,Fast data visualization and GUI tools for scientific / engineering.,Data Visualization,3900,,,,,,,https://www.pyqtgraph.org/images/plotting_sm.png
Graphviz,https://graphviz.readthedocs.io/,Graphviz,Simple Python interface for Graphviz.,Data Visualization,1700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
cartopy,https://scitools.org.uk/cartopy/docs/latest,cartopy,Cartopy - a cartographic python library with matplotlib support.,Data Visualization,1400,,,,,,,https://scitools.org.uk/cartopy/docs/latest/_static/cartopy.png
Perspective,https://perspective.finos.org/,Perspective,A data visualization and analytics component.,Data Visualization,8700,,,,,,,https://github.com/finos/perspective/raw/master/docs/static/svg/perspective-logo-light.svg?raw=true
UMAP,https://github.com/lmcinnes/umap,UMAP,Uniform Manifold Approximation and Projection.,Data Visualization,7500,,,,,,,https://github.com/lmcinnes/umap/raw/master/doc/logo_large.png
wordcloud,https://amueller.github.io/word_cloud,wordcloud,A little word cloud generator in Python.,Data Visualization,10000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
VisPy,https://vispy.org/,VisPy,High-performance interactive 2D/3D data visualization library.,Data Visualization,3300,,,,,,,https://github.com/vispy/vispy/workflows/CI/badge.svg
datashader,https://datashader.org/,datashader,Quickly and accurately render even the largest data.,Data Visualization,3300,,,,,,,https://github.com/holoviz/datashader/raw/main/doc/_static/logo_horizontal.svg
lets-plot,https://lets-plot.org/,lets-plot,Multiplatform plotting library based on the Grammar of Graphics,Data Visualization,1600,,,,,,,https://lets-plot.org/_static/logo-light.svg
hvPlot,https://hvplot.holoviz.org/,hvPlot,"A high-level plotting API for pandas, dask, xarray, and networkx.",Data Visualization,1200,,,,,,,https://github.com/holoviz/hvplot/raw/main/doc/_static/logo.png?raw=true
D-Tale,https://alphatechadmin.pythonanywhere.com/,D-Tale,Visualizer for pandas data structures,Data Visualization,4800,,,,,,,https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/Title.png
mpld3,https://mpld3.github.io/,mpld3,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,Data Visualization,2400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
bqplot,https://bqplot.github.io/bqplot,bqplot,Plotting library for IPython/Jupyter notebooks.,Data Visualization,3600,,,,,,,https://raw.githubusercontent.com/bqplot/design/master/bqplot-logo-dark-nobackground.svg
openTSNE,https://opentsne.rtfd.io/,openTSNE,"Extensible, parallel implementations of t-SNE.",Data Visualization,1500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Chartify,https://github.com/spotify/chartify,Chartify,Python library that makes it easy for data scientists to create charts.,Data Visualization,3600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
data-validation,https://github.com/tensorflow/data-validation,data-validation,Library for exploring and validating machine learning data,Data Visualization,770,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
HyperTools,https://hypertools.readthedocs.io/en/latest/,HyperTools,A Python toolbox for gaining geometric insights into high-dimensional data,Data Visualization,1800,,,,,,,https://github.com/ContextLab/hypertools/raw/master/images/hypercube.png
AutoViz,https://github.com/AutoViML/AutoViz,AutoViz,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.",Data Visualization,1800,,,,,,,https://github.com/AutoViML/AutoViz/raw/master/images/logo.png
Plotly-Resampler,https://predict-idlab.github.io/plotly-resampler/latest,Plotly-Resampler,Visualize large time series data with plotly.py,Data Visualization,1100,,,,,,,https://raw.githubusercontent.com/predict-idlab/plotly-resampler/main/mkdocs/static/logo.svg
python-ternary,https://github.com/marcharper/python-ternary,python-ternary,Ternary plotting library for python with matplotlib,Data Visualization,740,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
vega,https://github.com/vega/ipyvega,vega,IPython/Jupyter notebook module for Vega and Vega-Lite.,Data Visualization,380,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,Multicore-TSNE,Parallel t-SNE implementation with Python and Torch wrappers.,Data Visualization,1900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
vegafusion,https://vegafusion.io/,vegafusion,Serverside scaling for Vega and Altair visualizations.,Data Visualization,340,,,,,,,https://user-images.githubusercontent.com/15064365/213880031-eca5ab61-3d97-474f-a0e6-3662dbc9887f.svg#gh-dark-mode-only
PyWaffle,https://github.com/gyli/PyWaffle,PyWaffle,Make Waffle Charts in Python.,Data Visualization,590,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
animatplot,https://github.com/t-makaro/animatplot,animatplot,A python package for animating plots build on matplotlib.,Data Visualization,410,,,,,,,https://github.com/t-makaro/animatplot/raw/master/docs/source/tutorial/images/multiblock.gif
ivis,https://beringresearch.github.io/ivis/,ivis,Dimensionality reduction in very large datasets using Siamese.,Data Visualization,330,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
transformers,https://huggingface.co/transformers,transformers,"ransformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",Natural Language Processing; Text Data & NLP,140000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
litellm,https://docs.litellm.ai/docs/,litellm,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]",Natural Language Processing; Text Data & NLP,16000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
sentence-transformers,https://www.sbert.net/,sentence-transformers,State-of-the-Art Text Embeddings,Natural Language Processing; Text Data & NLP,16000,,,,,,,https://www.sbert.net/_static/logo.png
Tokenizers,https://huggingface.co/docs/tokenizers,Tokenizers,Fast State-of-the-Art Tokenizers optimized for Research and Production,Natural Language Processing; Text Data & NLP,9200,,,,,,,https://huggingface.co/front/assets/huggingface_logo-noborder.svg
Rasa,https://rasa.com/docs/rasa/,Rasa,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants",Natural Language Processing; Text Data & NLP,19000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
NeMo,https://docs.nvidia.com/nemo-framework/user-guide/latest/overview.html,NeMo,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)",Natural Language Processing; Text Data & NLP,13000,,,,,,,https://docs.nvidia.com/nemo-framework/user-guide/latest/_static/nvidia-logo-horiz-rgb-blk-for-screen.svg
sentencepiece,https://github.com/google/sentencepiece,sentencepiece,Unsupervised text tokenizer for Neural Network-based text generation.,Natural Language Processing; Text Data & NLP,10000,,,,,,,https://github.com/google/sentencepiece/actions/workflows/cmake.yml/badge.svg
fairseq,https://github.com/facebookresearch/fairseq,fairseq,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,Natural Language Processing; Text Data & NLP,31000,,,,,,,https://github.com/facebookresearch/fairseq/raw/main/docs/fairseq_logo.png
TensorFlow Text,https://www.tensorflow.org/beta/tutorials/tensorflow_text/intro,TensorFlow Text,Making text a first-class citizen in TensorFlow.,Natural Language Processing; Text Data & NLP,1200,,,,,,,https://raw.githubusercontent.com/tensorflow/text/master/docs/include/tftext.png
spark-nlp,https://sparknlp.org/,spark-nlp,State of the Art Natural Language Processing,Natural Language Processing; Text Data & NLP,3900,,,,,,,https://github.com/JohnSnowLabs/spark-nlp/workflows/build/badge.svg
fastText,https://fasttext.cc/,fastText,Library for fast text representation and classification.,Natural Language Processing; Text Data & NLP,26000,,,,,,,https://fasttext.cc/img/fasttext-logo-color-web.png
dlib,https://dlib.net/,dlib,A toolkit for making real world machine learning and data analysis applications in C++,Machine Learning Frameworks,14000,,,,,,,https://github.com/davisking/dlib/actions/workflows/build_cpp.yml/badge.svg
ivy,https://ivy.dev/,ivy,Convert Machine Learning Code Between Frameworks,Machine Learning Frameworks,14000,,,,,,,https://raw.githubusercontent.com/ivy-llc/assets/refs/heads/main/assets/logos/ivy-long.svg
tensorpack,https://github.com/tensorpack/tensorpack,tensorpack,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility",Machine Learning Frameworks,6300,,,,,,,https://github.com/tensorpack/tensorpack/raw/master/.github/tensorpack.png
Turi Create,https://github.com/apple/turicreate,Turi Create,Turi Create simplifies the development of custom machine learning models.,Machine Learning Frameworks,11000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
dyNET,https://github.com/clab/dynet,dyNET,DyNet: The Dynamic Neural Network Toolkit,Machine Learning Frameworks,3400,,,,,,,https://github.com/clab/dynet/raw/master/doc/source/images/dynet_logo.png
CNTK,https://docs.microsoft.com/cognitive-toolkit/,CNTK,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit",Machine Learning Frameworks,18000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Lasagne,https://lasagne.readthedocs.org/,Lasagne,Lightweight library to build and train neural networks in Theano,Machine Learning Frameworks,3800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
EvaDB,https://evadb.ai/docs,EvaDB,Database system for AI-powered apps,Machine Learning Frameworks,2600,,,,,,,https://raw.githubusercontent.com/georgia-tech-db/evadb/master/docs/images/evadb/evadb-full-logo.svg
NeuPy,https://neupy.com/,NeuPy,NeuPy is a Tensorflow based python library for prototyping and building neural networks,Machine Learning Frameworks,740,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
xLearn,https://xlearn-doc.readthedocs.io/en/latest/index.html,xLearn,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.",Machine Learning Frameworks,3100,,,,,,,https://github.com/aksnzhy/xLearn/raw/master/img/xlearn_logo.png
neon,https://neon.nervanasys.com/docs/latest,neon,Reference deep learning framework committed to best performance on all hardware,Machine Learning Frameworks,3900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Torchbearer,https://pytorchbearer.org/,Torchbearer,torchbearer: A model fitting library for PyTorch,Machine Learning Frameworks,640,,,,,,,https://raw.githubusercontent.com/pytorchbearer/torchbearer/master/docs/_static/img/logo_dark_text.svg?sanitize=true
elegy,https://poets-ai.github.io/elegy/,elegy,A High Level API for Deep Learning in JAX,Machine Learning Frameworks,470,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
StarSpace,https://github.com/facebookresearch/StarSpace,StarSpace,"Learning embeddings for classification, retrieval and ranking.",Machine Learning Frameworks,4000,,,,,,,https://github.com/facebookresearch/StarSpace/raw/main/examples/starspace.png
nanodl,https://github.com/HMUNACHI/nanodl,nanodl,A Jax-based library for designing and training transformer models from scratch.,Machine Learning Frameworks,280,,,,,,,https://github.com/HMUNACHI/nanodl/raw/main/assets/logo.jpg
missingno,https://github.com/ResidentMario/missingno,missingno,Missing data visualization module for Python.,Data Visualization,4000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Cufflinks,https://github.com/santosjorge/cufflinks,Cufflinks,Productivity Tools for Plotly + Pandas,Data Visualization,3000,,,,,,,https://github.com/santosjorge/cufflinks/raw/master/img/ukswaps.gif
Facets Overview,https://pair-code.github.io/facets/,Facets Overview,Visualizations for machine learning datasets,Data Visualization,7400,,,,,,,https://github.com/PAIR-code/facets/raw/master/img/overview-census.png
pythreejs,https://pythreejs.readthedocs.io/,pythreejs,A Jupyter - Three.js bridge,Data Visualization,960,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Sweetviz,https://github.com/fbdesignpro/sweetviz,Sweetviz,"Visualize and compare datasets, target values and associations, with one line of code.",Data Visualization,3000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ridgeplot,https://ridgeplot.readthedocs.io/,ridgeplot,Beautiful ridgeline plots in Python,Data Visualization,200,,,,,,,https://github.com/tpvasconcelos/ridgeplot/raw/main/docs/_static/img/logo-wide.png#gh-light-mode-only
HiPlot,https://facebookresearch.github.io/hiplot/,HiPlot,HiPlot makes understanding high dimensional data easy,Data Visualization,2800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PandasGUI,https://github.com/adamerose/PandasGUI,PandasGUI,A GUI for Pandas DataFrames,Data Visualization,3200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,Pandas-Bokeh,Bokeh Plotting Backend for Pandas and GeoPandas,Data Visualization,880,,,,,,,https://github.com/PatrikHlobil/Pandas-Bokeh/raw/master/docs/Images/Pandas-Bokeh-Logo.png
pivottablejs,https://nicolas.kruchten.com/content/2015/09/jupyter_pivottablejs/,pivottablejs,"Drag and drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js",Data Visualization,690,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
joypy,https://github.com/leotac/joypy,joypy,Joyplots in Python with matplotlib & pandas.,Data Visualization,570,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PDPbox,https://pdpbox.readthedocs.io/en/latest/,PDPbox,python partial dependence plot toolbox,Data Visualization,850,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Popmon,https://popmon.readthedocs.io/,Popmon,Monitor the stability of a Pandas or Spark dataframe.,Data Visualization,500,,,,,,,https://github.com/ing-bank/popmon/workflows/build/badge.svg
pdvega,https://altair-viz.github.io/pdvega/,pdvega,Interactive plotting for Pandas using Vega-Lite,Data Visualization,340,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
data-describe,https://github.com/data-describe/data-describe,data-describe,data-describe: Pythonic EDA Accelerator for Data Science,Data Visualization,300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
nx-altair,https://github.com/Zsailer/nx_altair,nx-altair,Draw interactive NetworkX graphs with Altair,Data Visualization,220,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
nptsne,https://github.com/biovault/nptsne,nptsne,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,Data Visualization,32,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
jellyfish,https://jamesturk.github.io/jellyfish/,jellyfish,A python library for doing approximate and phonetic matching of strings.,Text Data & NLP,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
qdrant,https://cloud.qdrant.io/,qdrant,"Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/",Text Data & NLP,21000,,,,,,,https://github.com/qdrant/qdrant/raw/master/docs/logo.svg
rubrix,https://docs.argilla.io/,rubrix,Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets,Text Data & NLP,4200,,,,,,,https://github.com/dvsrepo/imgs/raw/main/rg.svg
ftfy,https://ftfy.readthedocs.org/,ftfy,"Fixes mojibake and other glitches in Unicode text, after the fact.",Text Data & NLP,3800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
torchtext,https://pytorch.org/text,torchtext,"Models, data loaders and abstractions for language processing, powered by PyTorch",Text Data & NLP,3500,,,,,,,https://github.com/pytorch/text/raw/main/docs/source/_static/img/torchtext_logo.png
OpenNMT,https://opennmt.net/,OpenNMT,Open Source Neural Machine Translation and (Large) Language Models in PyTorch,Text Data & NLP,6800,,,,,,,https://github.com/OpenNMT/OpenNMT-py/workflows/Lint%20&%20Tests/badge.svg
DeepPavlov,https://deeppavlov.ai/,DeepPavlov,An open source library for deep learning end-to-end dialog systems and chatbots.,Text Data & NLP,6800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Dedupe,https://docs.dedupe.io/,Dedupe,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",Text Data & NLP,4200,,,,,,,https://github.com/dedupeio/dedupe/workflows/tests/badge.svg
SciSpacy,https://allenai.github.io/scispacy/,SciSpacy,A full spaCy pipeline and models for scientific/biomedical documents.,Text Data & NLP,1700,,,,,,,https://github.com/allenai/scispacy/raw/main/docs/scispacy-logo.png
spacy-transformers,https://spacy.io/usage/embeddings-transformers,spacy-transformers,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy",Text Data & NLP,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
snowballstemmer,https://snowballstem.org/,snowballstemmer,Snowball compiler and stemming algorithms,Text Data & NLP,770,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Sumy,https://miso-belica.github.io/sumy/,Sumy,Module for automatic summarization of text documents and HTML pages.,Text Data & NLP,3500,,,,,,,https://github.com/miso-belica/sumy/actions/workflows/run-tests.yml/badge.svg
TextDistance,https://github.com/life4/textdistance,TextDistance,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.",Text Data & NLP,3400,,,,,,,https://github.com/life4/textdistance/raw/master/logo.png
CLTK,https://cltk.org/,CLTK,The Classical Language Toolkit,Text Data & NLP,840,,,,,,,http://cltk.org/assets/phoenician_aleph.svg
Opik,https://www.comet.com/docs/opik/,Opik,"From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards.",Text Data & NLP,3900,,,,,,,https://github.com/comet-ml/opik/raw/main/apps/opik-documentation/documentation/static/img/opik-logo.svg
DeepKE,https://deepke.zjukg.cn/,DeepKE,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction,Text Data & NLP,3700,,,,,,,https://github.com/zjunlp/DeepKE/raw/main/pics/logo.png
english-words,https://github.com/dwyl/english-words,english-words,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion,Text Data & NLP,11000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
scattertext,https://github.com/JasonKessler/scattertext,scattertext,Beautiful visualizations of how language differs among document types.,Text Data & NLP,2300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyTextRank,https://derwen.ai/docs/ptr/,PyTextRank,"Python implementation of TextRank algorithms (""textgraphs"") for phrase extraction",Text Data & NLP,2200,,,,,,,https://derwen.ai/docs/ptr/assets/logo.png
T5,https://arxiv.org/abs/1910.10683,T5,"Code for the paper ""Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer""",Text Data & NLP,6200,,,,,,,https://github.com/google-research/text-to-text-transfer-transformer/workflows/build/badge.svg
detoxify,https://www.unitary.ai/,detoxify,"Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.",Text Data & NLP,980,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
fast-bert,https://github.com/utterworks/fast-bert,fast-bert,Super easy library for BERT based NLP models,Text Data & NLP,1900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
finetune,https://finetune.indico.io/,finetune,Scikit-learn style model finetuning for NLP,Text Data & NLP,710,,,,,,,https://i.imgur.com/kYL058E.png
happy-transformer,https://happytransformer.com/,happy-transformer,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,Text Data & NLP,530,,,,,,,https://happytransformer.com/assets/images/logo.jpg
Sockeye,https://awslabs.github.io/sockeye/,Sockeye,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch,Text Data & NLP,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
small-text,https://small-text.readthedocs.io/,small-text,Active Learning for Text Classification in Python,Text Data & NLP,600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
UForm,https://unum-cloud.github.io/uform/,UForm,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up to 5x faster than OpenAI CLIP and LLaVA.",Text Data & NLP,1100,,,,,,,https://github.com/unum-cloud/.github/raw/main/assets/discord.svg
OpenNRE,https://github.com/thunlp/OpenNRE,OpenNRE,An Open-Source Package for Neural Relation Extraction (NRE),Text Data & NLP,4400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
VizSeq,https://arxiv.org/abs/1909.05424,VizSeq,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)",Text Data & NLP,440,,,,,,,https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-one-color-white.svg
AllenNLP,https://www.allennlp.org/,AllenNLP,"An open-source NLP research library, built on PyTorch.",Text Data & NLP,12000,,,,,,,https://raw.githubusercontent.com/allenai/allennlp/main/docs/img/allennlp-logo-dark.png
ChatterBot,https://chatterbot.readthedocs.io/,ChatterBot,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots",Text Data & NLP,14000,,,,,,,https://chatterbot.readthedocs.io/en/stable/_images/banner.png
ParlAI,https://parl.ai/,ParlAI,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,Text Data & NLP,11000,,,,,,,https://github.com/facebookresearch/ParlAI/raw/main/docs/source//_static/img/parlai.png
fuzzywuzzy,https://chairnerd.seatgeek.com/fuzzywuzzy-fuzzy-string-matching-in-python/,fuzzywuzzy,Fuzzy String Matching in Python,Text Data & NLP,9200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
nlpaug,https://makcedward.github.io/,nlpaug,Data augmentation for NLP,Text Data & NLP,4500,,,,,,,https://github.com/makcedward/nlpaug/raw/master/res/logo_small.png
GluonNLP,https://nlp.gluon.ai/,GluonNLP,NLP made easy,Text Data & NLP,2600,,,,,,,https://raw.githubusercontent.com/dmlc/gluon-nlp/master/docs/_static/gluon-logo.svg
vaderSentiment,https://github.com/cjhutto/vaderSentiment,vaderSentiment,"VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.",Text Data & NLP,4500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
fastNLP,https://gitee.com/fastnlp/fastNLP,fastNLP,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,Text Data & NLP,3100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
langid,https://github.com/saffsd/langid.py,langid,Stand-alone language identification system,Text Data & NLP,2300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Ciphey,https://github.com/Ciphey/Ciphey,Ciphey,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",Text Data & NLP,18000,,,,,,,https://github.com/Ciphey/Ciphey/raw/master/Pictures_for_README/binoculars.png
textacy,https://textacy.readthedocs.io/,textacy,"NLP, before and after spaCy",Text Data & NLP,2200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
FARM,https://farm.deepset.ai/,FARM,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,Text Data & NLP,1700,,,,,,,https://github.com/deepset-ai/FARM/raw/master/docs/img/farm_logo_text_right_wide.png?raw=true
pySBD,https://github.com/nipunsadvilkar/pySBD,pySBD,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,Text Data & NLP,820,,,,,,,https://github.com/nipunsadvilkar/pySBD/raw/master/artifacts/pysbd_logo.png?raw=true
flashtext,https://github.com/vi3k6i5/flashtext,flashtext,Extract Keywords from sentence or Replace keywords in sentences.,Text Data & NLP,5600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
underthesea,https://undertheseanlp.com/,underthesea,Underthesea - Vietnamese NLP Toolkit,Text Data & NLP,1400,,,,,,,https://raw.githubusercontent.com/undertheseanlp/underthesea/main/img/logo.png
PyText,https://pytext.readthedocs.io/en/master/,PyText,A natural language modeling framework based on PyTorch,Text Data & NLP,6300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
OpenPrompt,https://thunlp.github.io/OpenPrompt/,OpenPrompt,An Open-Source Framework for Prompt-Learning.,Text Data & NLP,4400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Snips NLU,https://snips-nlu.readthedocs.io/,Snips NLU,Snips Python library to extract meaning from text,Text Data & NLP,3900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
neuralcoref,https://huggingface.co/coref/,neuralcoref,Fast Coreference Resolution in spaCy with Neural Networks,Text Data & NLP,2900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
textgenrnn,https://github.com/minimaxir/textgenrnn,textgenrnn,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.,Text Data & NLP,4900,,,,,,,https://github.com/minimaxir/textgenrnn/raw/master/docs/textgenrnn_console.gif
MatchZoo,https://github.com/NTMC-Community/MatchZoo,MatchZoo,"Facilitating the design, comparison and sharing of deep text matching models.",Text Data & NLP,3800,,,,,,,https://github.com/NTMC-Community/MatchZoo/raw/master/artworks/matchzoo-logo.png?raw=true
promptsource,https://github.com/bigscience-workshop/promptsource,promptsource,"Toolkit for creating, sharing and using natural language prompts.",Text Data & NLP,2700,,,,,,,https://github.com/bigscience-workshop/promptsource/raw/main/assets/PromptSource%20ACL%20Demo%20Figure.png
Kashgari,https://kashgari.readthedocs.io/,Kashgari,"Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.",Text Data & NLP,2400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pytorch-nlp,https://pytorchnlp.readthedocs.io/,pytorch-nlp,Basic Utilities for PyTorch Natural Language Processing (NLP),Text Data & NLP,2200,,,,,,,https://github.com/PetrochukM/PyTorch-NLP/raw/master/docs/_static/img/logo.svg
sense2vec,https://explosion.ai/blog/sense2vec-reloaded,sense2vec,Contextually-keyed word vectors,Text Data & NLP,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
jiant,https://jiant.info/,jiant,jiant is an nlp toolkit,Text Data & NLP,1700,,,,,,,https://jiant.info/ml2-logo-notext.svg
whoosh,https://github.com/mchaput/whoosh,whoosh,Pure-Python full-text search library,Text Data & NLP,590,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,gpt-2-simple,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts,Text Data & NLP,3400,,,,,,,https://github.com/minimaxir/gpt-2-simple/raw/master/docs/gen_demo.png
NLP Architect,https://intellabs.github.io/nlp-architect,NLP Architect,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks,Text Data & NLP,2900,,,,,,,https://raw.githubusercontent.com/IntelLabs/nlp-architect/master/docs-source/source/assets/nlp_architect_logo_trans.png
Texthero,https://texthero.org/,Texthero,"Text preprocessing, representation and visualization from zero to hero.",Text Data & NLP,2900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Texar,https://casl-project.ai/,Texar,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/",Text Data & NLP,2400,,,,,,,https://github.com/asyml/texar/raw/master/docs/_static/img/logo_h_035.png
YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,YouTokenToMe,Unsupervised text tokenizer focused on computational efficiency,Text Data & NLP,960,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
stop-words,https://pypi.org/project/stop-words/,stop-words,Get list of common stop words in various languages in Python,Text Data & NLP,160,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
anaGo,https://anago.herokuapp.com/,anaGo,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",Text Data & NLP,1500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
DeepMatcher,https://github.com/anhaidgroup/deepmatcher,DeepMatcher,Python package for performing Entity and Text Matching using Deep Learning.,Text Data & NLP,5200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
lightseq,https://github.com/bytedance/lightseq,lightseq,LightSeq: A High Performance Library for Sequence Processing and Generation,Text Data & NLP,3200,,,,,,,https://github.com/bytedance/lightseq/raw/master/docs/images/logo.png
DELTA,https://lfaidata.foundation/projects/delta/,DELTA,DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/,Text Data & NLP,1600,,,,,,,https://github.com/Delta-ML/delta/raw/master/docs/_static/delta_logo.png
textpipe,https://github.com/textpipe/textpipe,textpipe,Textpipe: clean and extract metadata from text,Text Data & NLP,300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
numerizer,https://github.com/jaidevd/numerizer,numerizer,A Python module to convert natural language numerics into ints and floats.,Text Data & NLP,230,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Camphr,https://camphr.readthedocs.io/en/latest/,Camphr,Camphr - NLP libary for creating pipeline components,Text Data & NLP,340,,,,,,,https://raw.githubusercontent.com/PKSHATechnology-Research/camphr/master/img/logoc.svg?sanitize=true
pyfasttext,https://github.com/vrasneur/pyfasttext,pyfasttext,Yet another Python binding for fastText,Text Data & NLP,230,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
NeuroNER,https://neuroner.com/,NeuroNER,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,Text Data & NLP,1700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
nboost,https://github.com/koursaros-ai/nboost,nboost,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)",Text Data & NLP,680,,,,,,,https://github.com/koursaros-ai/nboost/raw/master/.github/banner.svg?sanitize=true
fastT5,https://github.com/Ki6an/fastT5,fastT5,boost inference speed of T5 models by 5x & reduce the model size by 3x.,Text Data & NLP,570,,,,,,,https://raw.githubusercontent.com/Ki6an/fastT5/master/data/fastT5.png
textaugment,https://github.com/dsfsi/textaugment,textaugment,TextAugment: Text Augmentation Library,Text Data & NLP,410,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
skift,https://github.com/shaypal5/skift,skift,scikit-learn wrappers for Python fastText.,Text Data & NLP,240,,,,,,,https://github.com/shaypal5/skift/raw/be1f8e84d311f926fd39e8ea421525782b4cb39f/skift.png
BLINK,https://github.com/facebookresearch/BLINK,BLINK,Entity Linker solution,Text Data & NLP,1200,,,,,,,https://github.com/facebookresearch/BLINK/raw/main/img/blink_logo_banner.png
TextBox,https://github.com/RUCAIBox/TextBox,TextBox,TextBox 2.0 is a text generation library with pre-trained language models,Text Data & NLP,1100,,,,,,,https://github.com/RUCAIBox/TextBox/raw/2.0.0/asset/logo.png
Translate,https://github.com/pytorch/translate,Translate,Translate - a PyTorch Language Library,Text Data & NLP,830,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
NeuralQA,https://victordibia.github.io/neuralqa/,NeuralQA,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT,Text Data & NLP,230,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Headliner,https://as-ideas.github.io/headliner/,Headliner,Easy training and deployment of seq2seq models.,Text Data & NLP,230,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ONNX-T5,https://github.com/abelriboulot/onnxt5,ONNX-T5,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.",Text Data & NLP,250,,,,,,,https://github.com/abelriboulot/onnxt5/raw/master/data/social_preview.png?raw=true
spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,spacy-dbpedia-spotlight,A spaCy wrapper for DBpedia Spotlight,Text Data & NLP,110,,,,,,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight/actions/workflows/tests.yml/badge.svg
TransferNLP,https://github.com/feedly/transfer-nlp,TransferNLP,NLP library designed for reproducible experimentation management,Text Data & NLP,290,,,,,,,https://github.com/feedly/transfer-nlp/raw/v0.1/data/images/TransferNLP_Logo.jpg
textvec,https://github.com/textvec/textvec,textvec,Text vectorization tool to outperform TFIDF for classification tasks,Text Data & NLP,190,,,,,,,https://github.com/textvec/textvec/raw/master/examples/images/logo.png?raw=true
PyTorch Image Models,https://huggingface.co/docs/timm,PyTorch Image Models,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more",Image Data,33000,,,,,,,https://huggingface.co/front/assets/huggingface_logo-noborder.svg
torchvision,https://pytorch.org/vision,torchvision,"Datasets, Transforms and Models specific to Computer Vision",Image Data,16000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
MoviePy,https://zulko.github.io/moviepy/,MoviePy,Video editing with Python,Image Data,13000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
deepface,https://bit.ly/deepface-py,deepface,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python",Image Data,15000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
InsightFace,https://insightface.ai/,InsightFace,State-of-the-art 2D and 3D Face Analysis Project,Image Data,24000,,,,,,,https://insightface.ai/assets/img/custom/logo3.jpg
MMDetection,https://mmdetection.readthedocs.io/,MMDetection,OpenMMLab Detection Toolbox and Benchmark,Image Data,30000,,,,,,,https://github.com/open-mmlab/mmdetection/raw/main/resources/mmdet-logo.png
opencv-python,https://pypi.org/project/opencv-python/,opencv-python,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.",Image Data,4600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
detectron2,https://detectron2.readthedocs.io/en/latest/,detectron2,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",Image Data,31000,,,,,,,https://github.com/facebookresearch/detectron2/raw/main/.github/Detectron2-Logo-Horz.svg
PaddleSeg,https://arxiv.org/abs/2101.06175,PaddleSeg,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.",Image Data,8800,,,,,,,https://github.com/PaddlePaddle/PaddleSeg/raw/release/2.10/docs/images/paddleseg_logo.png
Wand,https://docs.wand-py.org/,Wand,The ctypes-based simple ImageMagick binding for Python,Image Data,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
vit-pytorch,https://github.com/lucidrains/vit-pytorch,vit-pytorch,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch",Image Data,21000,,,,,,,https://github.com/lucidrains/vit-pytorch/raw/main/images/vit.gif
lightly,https://docs.lightly.ai/self-supervised-learning/,lightly,A python library for self-supervised learning on images.,Image Data,3200,,,,,,,https://github.com/lightly-ai/lightly/raw/master/docs/logos/lightly_SSL_logo_crop.png
PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,PaddleDetection,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.",Image Data,13000,,,,,,,https://user-images.githubusercontent.com/48054808/160532560-34cf7a1f-d950-435e-90d2-4b0a679e5119.png
imageai,https://www.genxr.co/#products,imageai,A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities,Image Data,8700,,,,,,,https://www.genxr.co/images/genxr_logo-transparent.png
ImageHash,https://github.com/JohannesBuchner/imagehash,ImageHash,A Python Perceptual Image Hashing Module,Image Data,3500,,,,,,,https://github.com/JohannesBuchner/imagehash/actions/workflows/testing.yml/badge.svg
CellProfiler,https://cellprofiler.org/,CellProfiler,An open-source application for biological image analysis,Image Data,930,,,,,,,https://github.com/CellProfiler/CellProfiler/raw/main/src/frontend/cellprofiler/data/images/splash.png
sahi,https://ieeexplore.ieee.org/document/9897990,sahi,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots,Image Data,4200,,,,,,,https://raw.githubusercontent.com/obss/sahi/main/resources/sliced_inference.gif
doctr,https://mindee.github.io/doctr/,doctr,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.",Image Data,4100,,,,,,,https://github.com/mindee/doctr/raw/main/docs/images/Logo_doctr.gif
mtcnn,https://github.com/ipazc/mtcnn,mtcnn,"MTCNN face detection implementation for TensorFlow, as a PIP package.",Image Data,2300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Face Alignment,https://www.adrianbulat.com/,Face Alignment,2D and 3D Face alignment library build using pytorch,Image Data,7200,,,,,,,https://github.com/1adrianb/face-alignment/raw/master/docs/images/face-alignment-adrian.gif
facenet-pytorch,https://github.com/timesler/facenet-pytorch,facenet-pytorch,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models,Image Data,4600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
vidgear,https://abhitronix.github.io/vidgear,vidgear,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,Image Data,3400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Norfair,https://tryolabs.github.io/norfair/,Norfair,Lightweight Python library for adding real-time multi-object tracking to any detector.,Image Data,2400,,,,,,,https://raw.githubusercontent.com/tryolabs/norfair/master/docs/img/banner.png
Image Deduplicator,https://idealo.github.io/imagededup/,Image Deduplicator,Finding duplicate images made easy!,Image Data,5200,,,,,,,https://github.com/idealo/imagededup/actions/workflows/test.yml/badge.svg?branch=master
pytorchvideo,https://pytorchvideo.org/,pytorchvideo,A deep learning library for video understanding research.,Image Data,3400,,,,,,,https://github.com/facebookresearch/pytorchvideo/raw/main/.github/media/logo_horizontal_color.png
tensorflow-graphics,https://github.com/tensorflow/graphics,tensorflow-graphics,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow,Image Data,2800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
kubric,https://github.com/google-research/kubric,kubric,"A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.",Image Data,2400,,,,,,,https://github.com/google-research/kubric/actions/workflows/blender.yml/badge.svg?branch=main
MMF,https://mmf.sh/,MMF,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR),Image Data,5500,,,,,,,https://mmf.sh/img/logo.svg
segmentation_models,https://github.com/qubvel/segmentation_models,segmentation_models,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,Image Data,4800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ffcv,https://ffcv.io/,ffcv,FFCV: Fast Forward Computer Vision (and other ML workloads!),Image Data,2900,,,,,,,https://github.com/libffcv/ffcv/raw/main/assets/logo.svg
pyvips,https://github.com/libvips/pyvips,pyvips,python binding for libvips using cffi,Image Data,660,,,,,,,https://github.com/libvips/pyvips/workflows/CI/badge.svg
vissl,https://vissl.ai/,vissl,"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",Image Data,3300,,,,,,,https://github.com/facebookresearch/vissl/raw/main/.github/logo/Logo_Color_Light_BG.png
icevision,https://airctic.github.io/icevision/,icevision,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come",Image Data,850,,,,,,,https://github.com/airctic/icevision/raw/master/images/icevision-logo-slogan.png
DE⫶TR,https://github.com/facebookresearch/detr,DE⫶TR,End-to-End Object Detection with Transformers,Image Data,14000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PySlowFast,https://github.com/facebookresearch/SlowFast,PySlowFast,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,Image Data,6700,,,,,,,https://github.com/facebookresearch/SlowFast/raw/main/demo/ava_demo.gif
Image Super-Resolution,https://idealo.github.io/image-super-resolution/,Image Super-Resolution,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,Image Data,4700,,,,,,,https://github.com/idealo/image-super-resolution/raw/master/figures/butterfly.png
scenic,https://github.com/google-research/scenic,scenic,Scenic: A Jax Library for Computer Vision Research and Beyond,Image Data,3400,,,,,,,https://raw.githubusercontent.com/google-research/scenic/main/images/scenic_logo.png
glfw,https://www.glfw.org/,glfw,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input",Image Data,13000,,,,,,,https://github.com/glfw/glfw/actions/workflows/build.yml/badge.svg
Face Recognition,https://github.com/ageitgey/face_recognition,Face Recognition,The world's simplest facial recognition api for Python and the command line,Image Data,54000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
GluonCV,https://gluon-cv.mxnet.io/,GluonCV,Gluon CV Toolkit,Image Data,5800,,,,,,,https://github.com/dmlc/gluon-cv/workflows/Unit%20Test/badge.svg?branch=master&event=push
imutils,https://github.com/PyImageSearch/imutils,imutils,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.",Image Data,4500,,,,,,,https://github.com/PyImageSearch/imutils/raw/master/docs/images/translation_eq.png?raw=true
layout-parser,https://layout-parser.github.io/,layout-parser,A Unified Toolkit for Deep Learning Based Document Image Analysis,Image Data,5000,,,,,,,https://github.com/Layout-Parser/layout-parser/raw/main/.github/layout-parser.png
chainercv,https://github.com/chainer/chainercv,chainercv,ChainerCV: a Library for Deep Learning in Computer Vision,Image Data,1500,,,,,,,https://github.com/chainer/chainercv/raw/master/docs/images/logo.png
Augmentor,https://augmentor.readthedocs.io/en/stable,Augmentor,Image augmentation library in Python for machine learning.,Image Data,5100,,,,,,,https://github.com/mdbloice/AugmentorFiles/raw/master/Misc/AugmentorLogo.png
Pillow-SIMD,https://python-pillow.github.io/pillow-perf/,Pillow-SIMD,The friendly PIL fork,Image Data,2200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
deep-daze,https://twitter.com/advadnoun,deep-daze,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun,Image Data,4400,,,,,,,https://github.com/lucidrains/deep-daze/raw/main/samples/Mist_over_green_hills.jpg
Luminoth,https://tryolabs.com/,Luminoth,Deep Learning toolkit for Computer Vision.,Image Data,2400,,,,,,,https://user-images.githubusercontent.com/270983/31414425-c12314d2-ae15-11e7-8cc9-42d330b03310.png
Classy Vision,https://classyvision.ai/,Classy Vision,An end-to-end PyTorch framework for image and video classification,Image Data,1600,,,,,,,https://github.com/facebookresearch/ClassyVision/raw/main/website/static/img/cv-logo.png
image-match,https://github.com/rhsimplex/image-match,image-match,Quickly search over billions of images,Image Data,2900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
nude.py,https://github.com/hhatto/nude.py,nude.py,Nudity detection with Python,Image Data,930,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
detecto,https://detecto.readthedocs.io/,detecto,Build fully-functioning computer vision models with PyTorch,Image Data,620,,,,,,,https://github.com/alankbi/detecto/raw/master/assets/logo_words.svg
Caer,https://caer.readthedocs.io/,Caer,"High-performance Vision library in Python. Scale your research, not boilerplate.",Image Data,780,,,,,,,https://github.com/jasmcaus/caer/raw/dev/docs/sphinx-theme/_static/thumbs/caer-logo-flat.png
solt,https://imedslab.github.io/solt/,solt,Streaming over lightweight data transformations,Image Data,260,,,,,,,https://github.com/imedslab/solt/raw/master/doc/source/_static/logo.png
pycls,https://github.com/facebookresearch/pycls,pycls,"Codebase for Image Classification Research, written in PyTorch.",Image Data,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Torch Points 3D,https://torch-points3d.readthedocs.io/en/latest/,Torch Points 3D,Pytorch framework for doing deep learning on point clouds.,Image Data,220,,,,,,,https://raw.githubusercontent.com/nicolas-chaulet/torch-points3d/master/docs/logo.png
HugsVision,https://pypi.org/project/hugsvision/,HugsVision,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision,Image Data,200,,,,,,,https://raw.githubusercontent.com/qanastek/HugsVision/main/ressources/images/logo_name_transparent.png
dgl,https://dgl.ai/,dgl,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",Graph Data,14000,,,,,,,https://www.dgl.ai/assets/images/logo.png
pygraphistry,https://github.com/graphistry/pygraphistry,pygraphistry,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer",Graph Data,2200,,,,,,,https://github.com/graphistry/pygraphistry/workflows/CI%20Tests/badge.svg
PyKEEN,https://pykeen.readthedocs.io/en/stable/,PyKEEN,A Python library for learning and evaluating knowledge graph embeddings,Graph Data,1700,,,,,,,https://github.com/pykeen/pykeen/raw/master/docs/source/logo.png
Spektral,https://graphneural.network/,Spektral,Graph Neural Networks with Keras and Tensorflow 2.,Graph Data,2400,,,,,,,https://danielegrattarola.github.io/spektral/img/logo_dark.svg
ogb,https://ogb.stanford.edu/,ogb,"Benchmark datasets, data loaders, and evaluators for graph machine learning",Graph Data,2000,,,,,,,https://ogb.stanford.edu/assets/img/OGB_pure.png
AmpliGraph,https://docs.ampligraph.org/,AmpliGraph,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org,Graph Data,2200,,,,,,,https://github.com/Accenture/AmpliGraph/raw/develop/docs/img/ampligraph_logo_transparent_300.png
pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,pytorch_geometric_temporal,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021),Graph Data,2700,,,,,,,https://raw.githubusercontent.com/benedekrozemberczki/pytorch_geometric_temporal/master/docs/source/_static/img/text_logo.jpg?sanitize=true
Node2Vec,https://github.com/eliorc/node2vec,Node2Vec,Implementation of the node2vec algorithm.,Graph Data,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
torch-cluster,https://github.com/rusty1s/pytorch_cluster,torch-cluster,PyTorch Extension Library of Optimized Graph Cluster Algorithms,Graph Data,840,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyTorch-BigGraph,https://torchbiggraph.readthedocs.io/,PyTorch-BigGraph,Generate embeddings from large-scale graph-structured data.,Graph Data,3400,,,,,,,https://github.com/facebookresearch/PyTorch-BigGraph/raw/main/docs/source/_static/logo_color.svg
AutoGL,https://mn.cs.tsinghua.edu.cn/AutoGL/,AutoGL,An autoML framework & toolkit for machine learning on graphs.,Graph Data,1100,,,,,,,https://github.com/THUMNLab/AutoGL/raw/main/resources/workflow.svg
OpenNE,https://github.com/thunlp/OpenNE,OpenNE,An Open-Source Package for Network Embedding (NE),Graph Data,1700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
GraphVite,https://graphvite.io/,GraphVite,GraphVite: A General and High-performance Graph Embedding System,Graph Data,1200,,,,,,,https://github.com/DeepGraphLearning/graphvite/raw/master/asset/logo/logo.png
igraph,https://github.com/igraph/python-igraph,igraph,Python interface for igraph,Graph Data,1300,,,,,,,https://github.com/igraph/python-igraph/actions/workflows/build.yml/badge.svg
StellarGraph,https://stellargraph.readthedocs.io/,StellarGraph,StellarGraph - Machine Learning on Graphs,Graph Data,3000,,,,,,,https://raw.githubusercontent.com/stellargraph/stellargraph/develop/stellar-graph-banner.png
pygal,https://www.pygal.org/,pygal,PYthon svg GrAph plotting Library,Graph Data,2700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Paddle Graph Learning,https://github.com/PaddlePaddle/PGL,Paddle Graph Learning,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle,Graph Data,1600,,,,,,,https://github.com/PaddlePaddle/PGL/raw/main/docs/source/_static/logo.png
Karate Club,https://karateclub.readthedocs.io/,Karate Club,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020),Graph Data,2200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
jraph,https://jraph.readthedocs.io/en/latest/,jraph,A Graph Neural Network Library in Jax,Graph Data,1400,,,,,,,https://github.com/google-deepmind/jraph/raw/master/images/logo.png
graph4nlp,https://dlg4nlp.github.io/index.html,graph4nlp,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!,Graph Data,1700,,,,,,,https://github.com/graph4ai/graph4nlp/raw/master/imgs/graph4nlp_logo.png
graph-nets,https://arxiv.org/abs/1806.01261,graph-nets,Build Graph Nets in Tensorflow,Graph Data,5400,,,,,,,https://github.com/deepmind/graph_nets/raw/master/images/graph-nets-deepmind-shortest-path0.gif
pyRDF2Vec,https://pyrdf2vec.readthedocs.io/en/latest/,pyRDF2Vec,Python Implementation and Extension of RDF2Vec,Graph Data,250,,,,,,,https://github.com/predict-idlab/pyRDF2Vec/raw/main/assets/embeddings.svg
DeepWalk,https://www.perozzi.net/projects/deepwalk/,DeepWalk,DeepWalk - Deep Learning for Graphs,Graph Data,2700,,,,,,,http://www.perozzi.net/assets/bp-small_bw.png
DIG,https://diveintographs.readthedocs.io/,DIG,A library for graph deep learning research,Graph Data,1900,,,,,,,https://github.com/divelab/DIG/raw/main/imgs/DIG-logo.jpg
deepsnap,https://snap.stanford.edu/deepsnap/,deepsnap,Python library assists deep learning on graphs,Graph Data,550,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
GraphGym,https://github.com/snap-stanford/GraphGym,GraphGym,Platform for designing and evaluating Graph Neural Networks (GNN),Graph Data,1700,,,,,,,https://github.com/snap-stanford/GraphGym/raw/master/docs/design_space.png
DeepGraph,https://deepgraph.readthedocs.io/,DeepGraph,Analyze Data with Pandas-based Networks. Documentation:,Graph Data,290,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
kglib,https://vaticle.com/,kglib,TypeDB-ML is the Machine Learning integrations library for TypeDB,Graph Data,550,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Sematch,https://gsi-upm.github.io/sematch/,Sematch,semantic similarity framework for knowledge graph,Graph Data,430,,,,,,,https://github.com/gsi-upm/sematch/raw/master/docs/sources/img/logo.png
Euler,https://github.com/alibaba/euler,Euler,A distributed graph deep learning framework.,Graph Data,2900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ptgnn,https://github.com/microsoft/ptgnn,ptgnn,A PyTorch Graph Neural Network Library,Graph Data,380,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,GraphEmbedding,Implementation and experiments of graph embedding algorithms.,Graph Data,3800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
GraphSAGE,https://github.com/williamleif/GraphSAGE,GraphSAGE,Representation learning on large graphs using stochastic graph convolutions.,Graph Data,3400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
OpenKE,https://github.com/thunlp/OpenKE,OpenKE,An Open-Source Package for Knowledge Embedding (KE),Graph Data,3900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
speechbrain,https://speechbrain.github.io/,speechbrain,A PyTorch-based Speech Toolkit,Audio Processing,9100,,,,,,,https://raw.githubusercontent.com/speechbrain/speechbrain/develop/docs/images/speechbrain-logo.svg
espnet,https://espnet.github.io/espnet/,espnet,End-to-End Speech Processing Toolkit,Audio Processing,8600,,,,,,,https://github.com/espnet/espnet/raw/master/doc/image/espnet_logo1.png
torchaudio,https://pytorch.org/audio,torchaudio,"Data manipulation and transformation for audio signal processing, powered by PyTorch",Audio Processing,2600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Coqui TTS,https://coqui.ai/,Coqui TTS,"A deep learning toolkit for Text-to-Speech, battle-tested in research and production",Audio Processing,37000,,,,,,,https://coqui.ai/static/38a06ec53309f617be3eb3b8b9367abf/598c3/logo-wordmark.png
spleeter,https://research.deezer.com/projects/spleeter.html,spleeter,Deezer source separation library including pretrained models.,Audio Processing,26000,,,,,,,https://github.com/deezer/spleeter/raw/master/images/spleeter_logo.png
Porcupine,https://picovoice.ai/,Porcupine,On-device wake word detection powered by deep learning,Audio Processing,3800,,,,,,,"data:image/svg+xml;base64,<?xml version="1.0" encoding="UTF-8" standalone="no"?>
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"
audiomentations,https://iver56.github.io/audiomentations/,audiomentations,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,Audio Processing,1900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
python-soundfile,https://github.com/bastibe/python-soundfile,python-soundfile,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy",Audio Processing,730,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tinytag,https://github.com/tinytag/tinytag,tinytag,Python library for reading audio file metadata,Audio Processing,720,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Madmom,https://madmom.readthedocs.io/,Madmom,Python audio and music signal processing library,Audio Processing,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
DDSP,https://magenta.tensorflow.org/ddsp,DDSP,DDSP: Differentiable Digital Signal Processing,Audio Processing,2900,,,,,,,https://magenta.tensorflow.org/assets/magenta-logo.png
nnAudio,https://github.com/KinWaiCheuk/nnAudio,nnAudio,Audio processing by using pytorch 1D convolution network,Audio Processing,1000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
DeepSpeech,https://github.com/mozilla/DeepSpeech,DeepSpeech,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.",Audio Processing,26000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
audioread,https://github.com/beetbox/audioread,audioread,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python,Audio Processing,500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,pyAudioAnalysis,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications",Audio Processing,5900,,,,,,,https://github.com/tyiannak/pyAudioAnalysis/raw/master/icon.png
aubio,https://aubio.org/,aubio,a library for audio and music analysis,Audio Processing,3400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Essentia,https://essentia.upf.edu/,Essentia,"C++ library for audio and music analysis, description and synthesis, including Python bindings",Audio Processing,2900,,,,,,,https://github.com/MTG/essentia/actions/workflows/build-wheels-cibuildwheel.yml/badge.svg
TTS,https://discourse.mozilla.org/c/tts,TTS,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts),Audio Processing,9500,,,,,,,https://user-images.githubusercontent.com/1402048/104139991-3fd15e00-53af-11eb-8640-3a78a64641dd.png
Dejavu,https://github.com/worldveil/dejavu,Dejavu,Audio fingerprinting and recognition in Python,Audio Processing,6500,,,,,,,https://github.com/worldveil/dejavu/raw/master/plots/confidence.png
kapre,https://github.com/keunwoochoi/kapre,kapre,kapre: Keras Audio Preprocessors,Audio Processing,930,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Julius,https://github.com/adefossez/julius,Julius,Fast PyTorch based DSP for audio and 1D signals,Audio Processing,430,,,,,,,https://github.com/adefossez/julius/workflows/linter/badge.svg
TimeSide,https://timeside.ircam.fr/docs/,TimeSide,scalable audio processing framework and server written in Python,Audio Processing,380,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Muda,https://github.com/bmcfee/muda,Muda,A library for augmenting annotated audio data,Audio Processing,230,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
textlesslib,https://github.com/facebookresearch/textlesslib,textlesslib,Library for Textless Spoken Language Processing,Audio Processing,530,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pydeck,https://deck.gl/,pydeck,WebGL2 powered visualization framework,Geospatial Data,12000,,,,,,,https://deck.gl/images/visgl-logo-dark.png
Rasterio,https://rasterio.readthedocs.io/,Rasterio,Rasterio reads and writes geospatial raster datasets,Geospatial Data,2300,,,,,,,https://github.com/rasterio/rasterio/actions/workflows/tests.yaml/badge.svg
ArcGIS API,https://developers.arcgis.com/python/,ArcGIS API,Documentation and samples for ArcGIS API for Python,Geospatial Data,1900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Fiona,https://fiona.readthedocs.io/,Fiona,Fiona reads and writes geographic data files,Geospatial Data,1200,,,,,,,https://github.com/Toblerity/Fiona/actions/workflows/tests.yml/badge.svg
pyproj,https://pyproj4.github.io/pyproj,pyproj,Python interface to PROJ (cartographic projections and coordinate transformations library),Geospatial Data,1100,,,,,,,https://raw.githubusercontent.com/pyproj4/pyproj/main/docs/media/logo.png
ipyleaflet,https://ipyleaflet.readthedocs.io/,ipyleaflet,A Jupyter - Leaflet.js bridge,Geospatial Data,1500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
geojson,https://pypi.python.org/pypi/geojson/,geojson,Python bindings and utilities for GeoJSON,Geospatial Data,930,,,,,,,https://github.com/jazzband/geojson/actions/workflows/test.yml/badge.svg
PySAL,https://pysal.org/pysal,PySAL,PySAL: Python Spatial Analysis Library Meta-Package,Geospatial Data,1400,,,,,,,https://github.com/pysal/pysal/actions/workflows/testing.yml/badge.svg
GeoViews,https://geoviews.org/,GeoViews,"Simple, concise geographical visualization in Python",Geospatial Data,600,,,,,,,https://github.com/holoviz/geoviews/raw/main/doc/_static/logo_stacked.png
pymap3d,https://geospace-code.github.io/pymap3d,pymap3d,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci,Geospatial Data,400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
geopy,https://geopy.readthedocs.io/,geopy,Geocoding library for Python.,Geospatial Data,4500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Geocoder,https://geocoder.readthedocs.org/,Geocoder,Python Geocoder,Geospatial Data,1600,,,,,,,https://github.com/DenisCarriere/geocoder/raw/master/docs/_static/geocoder.png
Satpy,https://satpy.readthedocs.org/en/latest/,Satpy,Python package for earth-observing satellite data processing,Geospatial Data,1100,,,,,,,https://github.com/pytroll/satpy/workflows/CI/badge.svg?branch=main
Sentinelsat,https://sentinelsat.readthedocs.io/,Sentinelsat,Search and download Copernicus Sentinel satellite images,Geospatial Data,990,,,,,,,https://github.com/sentinelsat/sentinelsat/raw/main/readme-note-scihub-closed.png
EarthPy,https://earthpy.readthedocs.io/,EarthPy,A package built to support working with spatial data using open source python,Geospatial Data,510,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Mapbox GL,https://github.com/mapbox/mapboxgl-jupyter,Mapbox GL,Use Mapbox GL JS to visualize data in a Python Jupyter notebook,Geospatial Data,670,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
prettymaps,https://github.com/marceloprates/prettymaps,prettymaps,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.",Geospatial Data,11000,,,,,,,https://github.com/marceloprates/prettymaps/raw/main/prints/heerhugowaard.png
gmaps,https://jupyter-gmaps.readthedocs.io/en/stable/,gmaps,Google maps for Jupyter notebooks,Geospatial Data,760,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
geoplotlib,https://github.com/andrea-cuttone/geoplotlib,geoplotlib,python toolbox for visualizing geographical data and making maps,Geospatial Data,1000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
yfinance,https://aroussi.com/post/python-yahoo-finance,yfinance,Download market data from Yahoo! Finance's API,Financial Data,15000,,,,,,,https://aroussi.com/assets/img/avatar.png
Qlib,https://qlib.readthedocs.io/en/latest/,Qlib,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.",Financial Data,16000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
bt,https://pmorissette.github.io/bt,bt,bt - flexible backtesting for Python,Financial Data,2300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ffn,https://pmorissette.github.io/ffn,ffn,ffn - a financial function library for Python,Financial Data,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
IB-insync,https://github.com/erdewit/ib_insync,IB-insync,Python sync/async framework for Interactive Brokers API,Financial Data,2900,,,,,,,https://github.com/erdewit/ib_insync/actions/workflows/test.yml/badge.svg?branch=master
stockstats,https://github.com/jealous/stockstats,stockstats,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,Financial Data,1300,,,,,,,https://github.com/jealous/stockstats/actions/workflows/build-test.yml/badge.svg
TensorTrade,https://discord.gg/ZZ7BGWh,TensorTrade,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",Financial Data,4600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Alpha Vantage,https://github.com/RomelTorres/alpha_vantage,Alpha Vantage,A python wrapper for Alpha Vantage API for financial data.,Financial Data,4300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
finmarketpy,https://www.cuemacro.com/,finmarketpy,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians),Financial Data,3500,,,,,,,https://github.com/cuemacro/finmarketpy/raw/master/finmarketpy_logo.png?raw=true
tf-quant-finance,https://github.com/google/tf-quant-finance,tf-quant-finance,High-performance TensorFlow library for quantitative finance.,Financial Data,4600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
zipline,https://www.zipline.io/,zipline,"Zipline, a Pythonic Algorithmic Trading Library",Financial Data,18000,,,,,,,https://cdn.prod.website-files.com/6332de5685bcb10d683a20ea/6332de5685bcb121b93a219e_zipline-logo-dark.png
pyfolio,https://quantopian.github.io/pyfolio,pyfolio,Portfolio and risk analytics in Python,Financial Data,5800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ta,https://technical-analysis-library-in-python.readthedocs.io/en/latest/,ta,Technical Analysis Library using Pandas and Numpy,Financial Data,4400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
backtrader,https://www.backtrader.com/,backtrader,Python Backtesting library for trading strategies,Financial Data,15000,,,,,,,https://www.backtrader.com/images/logo.png
Alphalens,https://quantopian.github.io/alphalens,Alphalens,Performance analysis of predictive (alpha) stock factors,Financial Data,3500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
empyrical,https://quantopian.github.io/empyrical,empyrical,Common financial risk and performance metrics. Used by zipline and pyfolio.,Financial Data,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Enigma Catalyst,https://enigma.co/,Enigma Catalyst,An Algorithmic Trading Library for Crypto-Assets in Python,Financial Data,2500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyAlgoTrade,https://gbeced.github.io/pyalgotrade/,PyAlgoTrade,Python Algorithmic Trading Library,Financial Data,4500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
FinTA,https://github.com/peerchemist/finta,FinTA,Common financial technical indicators implemented in Pandas.,Financial Data,2200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Backtesting.py,https://kernc.github.io/backtesting.py/,Backtesting.py,Backtest trading strategies in Python.,Financial Data,5700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Crypto Signals,https://www.linkedin.com/in/AbenezerMamo,Crypto Signals,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks",Financial Data,5000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
FinQuant,https://github.com/fmilthaler/FinQuant,FinQuant,"A program for financial portfolio management, analysis and optimisation.",Financial Data,1500,,,,,,,https://raw.githubusercontent.com/fmilthaler/finquant/master/images/finquant-logo.png
surpriver,https://www.tradytics.com/,surpriver,Find big moving stocks before they move using machine learning and anomaly detection,Financial Data,1800,,,,,,,https://github.com/tradytics/surpriver/raw/master/figures/logo_custom.png
pyrtfolio,https://investpy-portfolio.readthedocs.io/,pyrtfolio,Python package to generate stock portfolios,Financial Data,150,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
sktime,https://www.sktime.net/,sktime,A unified framework for machine learning with time series,Time Series Data,8100,,,,,,,https://github.com/sktime/sktime/raw/main/docs/source/images/sktime-logo.svg
pytorch-forecasting,https://pytorch-forecasting.readthedocs.io/,pytorch-forecasting,Time series forecasting with PyTorch,Time Series Data,4000,,,,,,,https://github.com/sktime/pytorch-forecasting/raw/main/docs/source/_static/logo.svg
STUMPY,https://stumpy.readthedocs.io/en/latest/,STUMPY,STUMPY is a powerful and scalable Python library for modern time series analysis,Time Series Data,3700,,,,,,,https://stumpy.readthedocs.io/en/latest/_static/logo.png
NeuralForecast,https://nixtlaverse.nixtla.io/neuralforecast,NeuralForecast,Scalable and user friendly neural forecasting algorithms.,Time Series Data,3200,,,,,,,https://mintlify.s3.us-west-1.amazonaws.com/nixtla/ecosystem.png
skforecast,https://skforecast.org/,skforecast,Time series forecasting with machine learning models,Time Series Data,1200,,,,,,,https://github.com/skforecast/skforecast/raw/master/images/banner-landing-page-skforecast.png?raw=true#only-light
GluonTS,https://ts.gluon.ai/,GluonTS,Probabilistic time series modeling in Python,Time Series Data,4700,,,,,,,https://ts.gluon.ai/stable/_static/gluonts.svg
Streamz,https://streamz.readthedocs.io/en/latest/,Streamz,Real-time stream processing for python,Time Series Data,1200,,,,,,,https://github.com/python-streamz/streamz/workflows/CI/badge.svg
TSFEL,https://tsfel.readthedocs.io/,TSFEL,An intuitive library to extract features from time series.,Time Series Data,960,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
greykite,https://github.com/linkedin/greykite,greykite,"A flexible, intuitive and fast forecasting library",Time Series Data,1800,,,,,,,https://github.com/linkedin/greykite/raw/master/LOGO-C8.png
pydlm,https://github.com/wwrechard/pydlm,pydlm,A python library for Bayesian time series modeling,Time Series Data,480,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tsflex,https://predict-idlab.github.io/tsflex/,tsflex,Flexible time series feature extraction & processing,Time Series Data,410,,,,,,,https://raw.githubusercontent.com/predict-idlab/tsflex/main/docs/_static/logo.png
Auto TS,https://github.com/AutoViML/Auto_TS,Auto TS,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.",Time Series Data,740,,,,,,,https://github.com/AutoViML/Auto_TS/raw/master/images/logo.png
pyts,https://pyts.readthedocs.io/,pyts,A Python package for time series classification,Time Series Data,1800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
luminol,https://github.com/linkedin/luminol,luminol,Anomaly Detection and Correlation library,Time Series Data,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ADTK,https://adtk.readthedocs.io/,ADTK,A Python toolkit for rule-based/unsupervised anomaly detection in time series,Time Series Data,1100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
seglearn,https://dmbee.github.io/seglearn/,seglearn,Python module for machine learning time series:,Time Series Data,570,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tick,https://x-datainitiative.github.io/tick/,tick,"Module for statistical learning, with a particular emphasis on time-dependent modelling",Time Series Data,490,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
matrixprofile-ts,https://opensource.target.com/,matrixprofile-ts,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile,Time Series Data,730,,,,,,,https://opensource.target.com/static/media/target_logo.0bb2187b04e452a4ef90699d4ed240fb.svg
atspy,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631,atspy,AtsPy: Automated Time Series Models in Python (by @firmai),Time Series Data,520,,,,,,,https://cdn.ssrn.com/ssrn-global-header/11589acb53bc518aa22929bf19add113.svg
tsaug,https://tsaug.readthedocs.io/,tsaug,A Python package for time series augmentation,Time Series Data,350,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tslumen,https://hsbc.github.io/tslumen/,tslumen,A library for Time Series EDA (exploratory data analysis),Time Series Data,68,,,,,,,https://raw.githubusercontent.com/hsbc/tslumen/main/doc/source/_static/logo-350.png
MNE,https://mne.tools/,MNE,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python,Medical Data,2800,,,,,,,https://mne.tools/stable/_images/mne_logo.svg
Nilearn,https://nilearn.github.io/,Nilearn,Machine learning for NeuroImaging in Python,Medical Data,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
MONAI,https://monai.io/,MONAI,AI Toolkit for Healthcare Imaging,Medical Data,6000,,,,,,,https://raw.githubusercontent.com/Project-MONAI/MONAI/dev/docs/images/MONAI-logo-color.png
NIPYPE,https://nipype.readthedocs.org/en/latest/,NIPYPE,Workflows and interfaces for neuroimaging packages,Medical Data,750,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
NiBabel,https://nipy.org/nibabel/,NiBabel,Python package to access a cacophony of neuro-imaging file formats,Medical Data,670,,,,,,,https://raw.githubusercontent.com/nipy/nibabel/master/doc/pics/logo.png
Hail,https://hail.is/,Hail,Cloud-native genomic dataframes and batch computing,Medical Data,980,,,,,,,https://hail.is/static/hail-logo-cropped-sm-opt.png
DeepVariant,https://github.com/google/deepvariant,DeepVariant,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.,Medical Data,3300,,,,,,,https://github.com/google/deepvariant/raw/r1.8/docs/images/dv_logo.png
Brainiak,https://brainiak.org/,Brainiak,Brain Imaging Analysis Kit,Medical Data,340,,,,,,,https://github.com/brainiak/brainiak/actions/workflows/ci.yml/badge.svg
DIPY,https://dipy.org/,DIPY,"DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.",Medical Data,730,,,,,,,https://github.com/dipy/dipy/raw/master/doc/_static/images/logos/dipy-logo.png
NIPY,https://nipy.org/nipy,NIPY,Neuroimaging in Python FMRI analysis package,Medical Data,380,,,,,,,http://nipy.org/nipy/_static/reggie2.png
NiftyNet,https://niftynet.io/,NiftyNet,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy,Medical Data,1400,,,,,,,https://github.com/NifTK/NiftyNet/raw/dev/niftynet-logo.png
MedPy,https://loli.github.io/medpy/,MedPy,Medical image processing in Python,Medical Data,580,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Glow,https://projectglow.io/,Glow,An open-source toolkit for large-scale genomic analysis,Medical Data,270,,,,,,,https://github.com/projectglow/glow/raw/main/static/glow_logo_horiz_color.png
DLTK,https://dltk.github.io/,DLTK,Deep Learning Toolkit for Medical Image Analysis,Medical Data,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
MedicalTorch,https://medicaltorch.readthedocs.io/,MedicalTorch,A medical imaging framework for Pytorch,Medical Data,860,,,,,,,https://github.com/perone/medicaltorch/raw/master/docs/source/_static/img/logo_hr.png
Medical Detection Toolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Medical Detection Toolkit,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.",Medical Data,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
DeepNeuro,https://qtim-lab.github.io/,DeepNeuro,A deep learning python package for neuroimaging data. Made by:,Medical Data,120,,,,,,,https://github.com/QTIM-Lab/DeepNeuro/raw/master/package_resources/logos/DeepNeuro_alt.PNG?raw=true
MedicalNet,https://github.com/Tencent/MedicalNet,MedicalNet,Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.,Medical Data,2000,,,,,,,https://github.com/Tencent/MedicalNet/raw/master/images/logo.png
pytorch_tabular,https://pytorch-tabular.readthedocs.io/,pytorch_tabular,A standard framework for modelling Deep Learning Models for tabular data,Tabular Data,1400,,,,,,,https://github.com/manujosephv/pytorch_tabular/raw/main/docs/imgs/pytorch_tabular_logo.png
miceforest,https://github.com/AnotherSamWilson/miceforest,miceforest,Multiple Imputation with LightGBM in Python,Tabular Data,370,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
upgini,https://upgini.com/,upgini,"Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs",Tabular Data,320,,,,,,,https://cdn.prod.website-files.com/65d5721664bea140c05f5301/65e354e4b9ddb1c6aaa7d7b1_upgini_logo%20gradient.svg
carefree-learn,https://carefree0910.me/carefree-learn-doc/,carefree-learn,Deep Learning  PyTorch,Tabular Data,410,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
deltapy,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3582219,deltapy,DeltaPy - Tabular Data Augmentation (by @firmai),Tabular Data,540,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PaddleOCR,https://paddlepaddle.github.io/PaddleOCR/,PaddleOCR,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)",Optical Character Recognition,45000,,,,,,,https://github.com/PaddlePaddle/PaddleOCR/releases/download/v2.8.0/PaddleOCR_logo.png
EasyOCR,https://www.jaided.ai/,EasyOCR,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.",Optical Character Recognition,25000,,,,,,,https://www.jaided.ai/static/img/svg_icon/jaided_logo.svg
OCRmyPDF,https://ocrmypdf.readthedocs.io/,OCRmyPDF,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched",Optical Character Recognition,15000,,,,,,,https://github.com/ocrmypdf/OCRmyPDF/raw/main/docs/images/logo.svg
Tesseract,https://github.com/madmaze/pytesseract,Tesseract,A Python wrapper for Google Tesseract,Optical Character Recognition,5900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tesserocr,https://github.com/sirfz/tesserocr,tesserocr,A Python wrapper for the tesseract-ocr API,Optical Character Recognition,2000,,,,,,,https://github.com/sirfz/tesserocr/actions/workflows/build.yml/badge.svg
MMOCR,https://mmocr.readthedocs.io/en/dev-1.x/,MMOCR,"OpenMMLab Text Detection, Recognition and Understanding Toolbox",Optical Character Recognition,4400,,,,,,,https://github.com/open-mmlab/mmocr/raw/main/resources/mmocr-logo.png
keras-ocr,https://keras-ocr.readthedocs.io/,keras-ocr,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,Optical Character Recognition,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
calamari,https://github.com/Calamari-OCR/calamari,calamari,Line based ATR Engine based on OCRopy,Optical Character Recognition,1100,,,,,,,https://github.com/Calamari-OCR/calamari/raw/master/resources/logo/calamari_200.png
pdftabextract,https://datascience.blog.wzb.eu/2017/02/16/data-mining-ocr-pdfs-using-pdftabextract-to-liberate-tabular-data-from-scanned-documents/,pdftabextract,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,Optical Character Recognition,2200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
attention-ocr,https://github.com/emedvedev/attention-ocr,attention-ocr,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.,Optical Character Recognition,1100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
doc2text,https://github.com/jlsutherland/doc2text,doc2text,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,Optical Character Recognition,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Mozart,https://github.com/aashrafh/Mozart,Mozart,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,Optical Character Recognition,630,,,,,,,https://github.com/aashrafh/mozart/raw/main/logo.svg
Ray,https://ray.io/,Ray,Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.,Distributed Machine Learning,35000,,,,,,,https://github.com/ray-project/ray/raw/master/doc/source/images/ray_header_logo.png
dask.distributed,https://distributed.dask.org/,dask.distributed,A distributed task scheduler for Dask,Distributed Machine Learning,1600,,,,,,,https://github.com/dask/distributed/workflows/Tests/badge.svg?branch=main
horovod,https://horovod.ai/,horovod,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",Distributed Machine Learning,14000,,,,,,,https://user-images.githubusercontent.com/16640218/34506318-84d0c06c-efe0-11e7-8831-0425772ed8f2.png
metrics,https://lightning.ai/docs/torchmetrics/,metrics,"Machine learning metrics for distributed, scalable PyTorch applications.",Distributed Machine Learning,2200,,,,,,,https://github.com/Lightning-AI/torchmetrics/raw/master/docs/source/_static/images/logo.png
H2O-3,https://h2o.ai/,H2O-3,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.",Distributed Machine Learning,7000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ColossalAI,https://www.colossalai.org/,ColossalAI,"Making large AI models cheaper, faster and more accessible",Distributed Machine Learning,39000,,,,,,,https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/colossal-ai_logo_vertical.png
BigDL,https://github.com/intel-analytics/ipex-llm,BigDL,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max)",Distributed Machine Learning,,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
FairScale,https://github.com/facebookresearch/fairscale,FairScale,PyTorch extensions for high performance and large scale training.,Distributed Machine Learning,3200,,,,,,,https://github.com/facebookresearch/fairscale/raw/main/docs/source/_static/img/fairscale-logo.png
SynapseML,https://aka.ms/spark,SynapseML,Simple and Distributed Machine Learning,Distributed Machine Learning,5100,,,,,,,https://microsoft.github.io/SynapseML/img/logo.svg
mpi4py,https://github.com/mpi4py/mpi4py,mpi4py,Python bindings for MPI,Distributed Machine Learning,820,,,,,,,https://github.com/mpi4py/mpi4py/workflows/ci/badge.svg?branch=master
Submit it,https://github.com/facebookincubator/submitit,Submit it,Python 3.8+ toolbox for submitting jobs to Slurm,Distributed Machine Learning,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Apache Singa,https://github.com/apache/singa,Apache Singa,a distributed deep learning platform,Distributed Machine Learning,3400,,,,,,,https://github.com/apache/singa/raw/master/doc/_static/singa.png
Hivemind,https://github.com/learning-at-home/hivemind,Hivemind,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,Distributed Machine Learning,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
MMLSpark,https://aka.ms/spark,MMLSpark,Simple and Distributed Machine Learning,Distributed Machine Learning,5100,,,,,,,https://microsoft.github.io/SynapseML/img/logo.svg
analytics-zoo,https://analytics-zoo.readthedocs.io/,analytics-zoo,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray",Distributed Machine Learning,2600,,,,,,,https://github.com/intel/analytics-zoo/raw/master/docs/docs/Image/logo.jpg
DEAP,https://deap.readthedocs.org/,DEAP,Distributed Evolutionary Algorithms in Python,Distributed Machine Learning,5900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ipyparallel,https://ipyparallel.readthedocs.io/,ipyparallel,IPython Parallel: Interactive Parallel Computing in Python,Distributed Machine Learning,2600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
petastorm,https://github.com/uber/petastorm,petastorm,"Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.",Distributed Machine Learning,1800,,,,,,,https://github.com/uber/petastorm/actions/workflows/unittest.yml/badge.svg?branch=master
TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,TensorFlowOnSpark,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,Distributed Machine Learning,3900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Elephas,https://maxpumperla.com/elephas/,Elephas,Distributed Deep learning with Keras & Spark,Distributed Machine Learning,1600,,,,,,,https://github.com/maxpumperla/elephas/raw/master/elephas-logo.png
BytePS,https://github.com/bytedance/byteps,BytePS,A high performance and generic framework for distributed DNN training,Distributed Machine Learning,3600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Mesh,https://github.com/tensorflow/mesh,Mesh,Mesh TensorFlow: Model Parallelism Made Easier,Distributed Machine Learning,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
sk-dist,https://github.com/Ibotta/sk-dist,sk-dist,Distributed scikit-learn meta-estimators in PySpark,Distributed Machine Learning,280,,,,,,,https://github.com/Ibotta/sk-dist/raw/master/doc/images/skdist.png
somoclu,https://peterwittek.github.io/somoclu/,somoclu,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters",Distributed Machine Learning,270,,,,,,,https://github.com/peterwittek/somoclu/actions/workflows/u2004.yml/badge.svg
launchpad,https://github.com/google-deepmind/launchpad,launchpad,Launchpad is a library that simplifies writing distributed programs by seamlessly launching them on a variety of different platforms. Switching between local and distributed execution requires only a flag change.,Distributed Machine Learning,320,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,mesh-transformer-jax,Model parallel transformers in JAX and Haiku,Distributed Machine Learning,6300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
bluefog,https://bluefog-lib.github.io/bluefog/,bluefog,Distributed and decentralized training framework for PyTorch over graph,Distributed Machine Learning,300,,,,,,,https://github.com/Bluefog-Lib/bluefog/actions/workflows/ci.yml/badge.svg
Fiber,https://uber.github.io/fiber/,Fiber,Distributed Computing for AI Made Simple,Distributed Machine Learning,1000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
parallelformers,https://tunib-ai.github.io/parallelformers,parallelformers,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment,Distributed Machine Learning,780,,,,,,,https://user-images.githubusercontent.com/38183241/125905410-1ee984a3-c5a9-4d8c-ba40-46fca740f514.png
TensorFrames,https://github.com/databricks/tensorframes,TensorFrames,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark,Distributed Machine Learning,720,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
LazyCluster,https://github.com/ml-tooling/lazycluster,LazyCluster,Distributed machine learning made simple.,Distributed Machine Learning,49,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
autodist,https://petuum.github.io/autodist,autodist,Simple Distributed Deep Learning on TensorFlow,Distributed Machine Learning,130,,,,,,,https://github.com/petuum/autodist/raw/master/docs/_static/img/logo.png
moolib,https://github.com/facebookresearch/moolib,moolib,A library for distributed ML training with PyTorch,Distributed Machine Learning,370,,,,,,,https://github.com/facebookresearch/moolib/actions/workflows/run_python_tests.yml/badge.svg?branch=main
AutoGluon,https://auto.gluon.ai/,AutoGluon,Fast and Accurate ML in 3 Lines of Code,Hyperparameter Optimization & AutoML,8200,,,,,,,https://user-images.githubusercontent.com/16392542/77208906-224aa500-6aba-11ea-96bd-e81806074030.png
Ax,https://ax.dev/,Ax,Adaptive Experimentation Platform,Hyperparameter Optimization & AutoML,2400,,,,,,,https://ax.dev/img/ax_lockup_white.svg
BoTorch,https://botorch.org/,BoTorch,Bayesian optimization in PyTorch,Hyperparameter Optimization & AutoML,3100,,,,,,,https://botorch.org/img/botorch_logo_lockup_white.png
Hyperopt,https://hyperopt.github.io/hyperopt,Hyperopt,Distributed Asynchronous Hyperparameter Optimization in Python,Hyperparameter Optimization & AutoML,7300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
nevergrad,https://facebookresearch.github.io/nevergrad/,nevergrad,A Python toolbox for performing gradient-free optimization,Hyperparameter Optimization & AutoML,4000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
AutoKeras,https://autokeras.com/,AutoKeras,AutoML library for deep learning,Hyperparameter Optimization & AutoML,9200,,,,,,,https://autokeras.com/img/row_red.svg
Bayesian Optimization,https://bayesian-optimization.github.io/BayesianOptimization/index.html,Bayesian Optimization,A Python implementation of global optimization with gaussian processes.,Hyperparameter Optimization & AutoML,8000,,,,,,,https://raw.githubusercontent.com/bayesian-optimization/BayesianOptimization/master/docsrc/static/func.png
lazypredict,https://github.com/shankarpandala/lazypredict,lazypredict,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning,Hyperparameter Optimization & AutoML,3000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
mljar-supervised,https://mljar.com/,mljar-supervised,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation",Hyperparameter Optimization & AutoML,3100,,,,,,,https://github.com/mljar/mljar-supervised/actions/workflows/run-tests.yml/badge.svg
Talos,https://autonom.io/,Talos,Hyperparameter Experiments with TensorFlow and Keras,Hyperparameter Optimization & AutoML,1600,,,,,,,https://raw.githubusercontent.com/autonomio/talos/master/logo.png
FEDOT,https://fedot.readthedocs.io/,FEDOT,Automated modeling and machine learning framework FEDOT,Hyperparameter Optimization & AutoML,650,,,,,,,https://github.com/aimclub/FEDOT/raw/master/docs/fedot_logo.png
Hyperactive,https://simonblanke.github.io/hyperactive-documentation,Hyperactive,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,Hyperparameter Optimization & AutoML,510,,,,,,,https://github.com/SimonBlanke/Hyperactive/raw/master/docs/images/logo.png
featurewiz,https://github.com/AutoViML/featurewiz,featurewiz,Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.,Hyperparameter Optimization & AutoML,600,,,,,,,https://github.com/AutoViML/featurewiz/raw/main/images/featurewiz_logos.png
AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,AlphaPy,Python AutoML for Trading Systems and Sports Betting,Hyperparameter Optimization & AutoML,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Auto ViML,https://github.com/AutoViML/Auto_ViML,Auto ViML,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.,Hyperparameter Optimization & AutoML,530,,,,,,,https://github.com/AutoViML/Auto_ViML/raw/master/logo.png
opytimizer,https://opytimizer.readthedocs.io/,opytimizer,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,Hyperparameter Optimization & AutoML,610,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
shap-hypetune,https://github.com/cerlymarco/shap-hypetune,shap-hypetune,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,Hyperparameter Optimization & AutoML,570,,,,,,,https://raw.githubusercontent.com/cerlymarco/shap-hypetune/master/imgs/shap-hypetune-diagram.png#center
scikit-optimize,https://scikit-optimize.github.io/,scikit-optimize,Sequential model-based optimization with a `scipy.optimize` interface,Hyperparameter Optimization & AutoML,2700,,,,,,,https://avatars2.githubusercontent.com/u/18578550?v=4&s=80
NNI,https://nni.readthedocs.io/,NNI,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.",Hyperparameter Optimization & AutoML,14000,,,,,,,https://github.com/microsoft/nni/raw/master/docs/img/nni_logo.png
Hyperas,https://maxpumperla.com/hyperas/,Hyperas,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization,Hyperparameter Optimization & AutoML,2200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
SMAC3,https://automl.github.io/SMAC3/v2.2.0/,SMAC3,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization,Hyperparameter Optimization & AutoML,1100,,,,,,,https://github.com/automl/SMAC3/actions/workflows/pytest.yml/badge.svg?branch=main
AdaNet,https://adanet.readthedocs.io/,AdaNet,Fast and flexible AutoML with learning guarantees.,Hyperparameter Optimization & AutoML,3500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
auto_ml,https://auto-ml.readthedocs.io/,auto_ml,Automated machine learning for analytics & production,Hyperparameter Optimization & AutoML,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
HpBandSter,https://github.com/automl/HpBandSter,HpBandSter,a distributed Hyperband implementation on Steroids,Hyperparameter Optimization & AutoML,610,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Orion,https://orion.readthedocs.io/,Orion,Asynchronous Distributed Hyperparameter Optimization.,Hyperparameter Optimization & AutoML,290,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
igel,https://igel.readthedocs.io/en/latest/,igel,"a delightful machine learning tool that allows you to train, test, and use models without writing code",Hyperparameter Optimization & AutoML,3100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
MLBox,https://mlbox.readthedocs.io/en/latest/,MLBox,MLBox is a powerful Automated Machine Learning python library.,Hyperparameter Optimization & AutoML,1500,,,,,,,https://github.com/AxeldeRomblay/MLBox/raw/master/docs/logos/logo.png
sklearn-deap,https://github.com/rsteca/sklearn-deap,sklearn-deap,Use evolutionary algorithms instead of gridsearch in scikit-learn,Hyperparameter Optimization & AutoML,770,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Test Tube,https://github.com/williamFalcon/test-tube,Test Tube,Python library to easily log experiments and parallelize hyperparameter search for neural networks,Hyperparameter Optimization & AutoML,740,,,,,,,https://raw.githubusercontent.com/williamfalcon/test-tube/master/imgs/test_tube_logo.png
Neuraxle,https://www.neuraxle.org/,Neuraxle,"The world's cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.",Hyperparameter Optimization & AutoML,610,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
optunity,https://www.optunity.net/,optunity,optimization routines for hyperparameter tuning,Hyperparameter Optimization & AutoML,420,,,,,,,https://github.com/claesenm/optunity/raw/master/logo/logo.png
Dragonfly,https://github.com/dragonfly/dragonfly,Dragonfly,An open source python library for scalable Bayesian optimisation.,Hyperparameter Optimization & AutoML,870,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Auto Tune Models,https://hdi-project.github.io/ATM/,Auto Tune Models,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",Hyperparameter Optimization & AutoML,530,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Sherpa,https://parameter-sherpa.readthedocs.io/,Sherpa,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",Hyperparameter Optimization & AutoML,330,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Advisor,https://advisor.readthedocs.io/,Advisor,Open-source implementation of Google Vizier for hyper parameters tuning,Hyperparameter Optimization & AutoML,1600,,,,,,,https://github.com/tobegit3hub/advisor/raw/master/images/advisor_architecture.jpg
Xcessiv,https://xcessiv.readthedocs.io/,Xcessiv,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",Hyperparameter Optimization & AutoML,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
HyperparameterHunter,https://github.com/HunterMcGushion/hyperparameter_hunter,HyperparameterHunter,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries,Hyperparameter Optimization & AutoML,700,,,,,,,https://github.com/HunterMcGushion/hyperparameter_hunter/raw/master/docs/media/overview.gif
automl-gs,https://github.com/minimaxir/automl-gs,automl-gs,"Provide an input CSV and a target field to predict, generate a model + code to run it.",Hyperparameter Optimization & AutoML,1900,,,,,,,https://github.com/minimaxir/automl-gs/raw/master/docs/console-demo.gif
Parfit,https://github.com/jmcarpenter2/parfit,Parfit,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.",Hyperparameter Optimization & AutoML,200,,,,,,,https://github.com/jmcarpenter2/parfit/raw/master/assets/scoring_grid_2D.png?raw=true
ENAS,https://github.com/carpedm20/ENAS-pytorch,ENAS,"PyTorch implementation of ""Efficient Neural Architecture Search via Parameters Sharing""",Hyperparameter Optimization & AutoML,2700,,,,,,,https://github.com/carpedm20/ENAS-pytorch/raw/master/assets/ENAS_rnn.png
Auptimizer,https://lge-arc-advancedai.github.io/auptimizer/,Auptimizer,An automatic ML model optimization tool.,Hyperparameter Optimization & AutoML,200,,,,,,,https://github.com/LGE-ARC-AdvancedAI/auptimizer/raw/master/AuptimizerBlackLong.png
Hypermax,https://github.com/genixpro/hypermax,Hypermax,"Better, faster hyper-parameter optimization",Hyperparameter Optimization & AutoML,110,,,,,,,https://raw.githubusercontent.com/electricbrainio/hypermax/master/docs/main_screen.png
model_search,https://github.com/google/model_search,model_search,"Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers speed up their exploration process for finding the right model architecture for their classification problems (i.e., DNNs with different types of layers).",Hyperparameter Optimization & AutoML,3300,,,,,,,https://raw.githubusercontent.com/google/model_search/master/model_search/images/model_search_logo.png
Devol,https://github.com/joeddav/devol,Devol,Genetic neural architecture search with Keras,Hyperparameter Optimization & AutoML,950,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Hypertunity,https://hypertunity.readthedocs.io/,Hypertunity,A toolset for black-box hyperparameter optimisation.,Hyperparameter Optimization & AutoML,140,,,,,,,https://raw.githubusercontent.com/gdikov/hypertunity/master/docs/_static/images/logo.svg?sanitize=true
FinRL,https://ai4finance.org/,FinRL,FinRL: Financial Reinforcement Learning.,Reinforcement Learning,10000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TF-Agents,https://github.com/tensorflow/agents,TF-Agents,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",Reinforcement Learning,2800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ViZDoom,https://vizdoom.farama.org/,ViZDoom,Reinforcement Learning environments based on the 1993 game Doom,Reinforcement Learning,1800,,,,,,,https://vizdoom.farama.org/_images/vizdoom-text.png
TensorForce,https://github.com/tensorforce/tensorforce,TensorForce,Tensorforce: a TensorFlow library for applied reinforcement learning,Reinforcement Learning,3300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PARL,https://parl.readthedocs.io/,PARL,A high-performance distributed training framework for Reinforcement Learning,Reinforcement Learning,3300,,,,,,,https://github.com/PaddlePaddle/PARL/raw/develop/.github/PARL-logo.png
RLax,https://rlax.readthedocs.io/,RLax,RLax (pronounced “relax”) is a library built on top of JAX that exposes useful building blocks for implementing reinforcement learning agents.,Reinforcement Learning,1300,,,,,,,https://github.com/deepmind/rlax/workflows/ci/badge.svg
ReAgent,https://reagent.ai/,ReAgent,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)",Reinforcement Learning,3600,,,,,,,https://github.com/facebookresearch/ReAgent/raw/main/logo/reagent_banner.png
PFRL,https://github.com/pfnet/pfrl,PFRL,PFRL: a PyTorch-based deep reinforcement learning library,Reinforcement Learning,1200,,,,,,,https://raw.githubusercontent.com/pfnet/pfrl/master/assets/PFRL.png
rliable,https://agarwl.github.io/rliable,rliable,"[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.",Reinforcement Learning,790,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
OpenAI Gym,https://www.gymlibrary.dev/,OpenAI Gym,A toolkit for developing and comparing reinforcement learning algorithms.,Reinforcement Learning,35000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
baselines,https://github.com/openai/baselines,baselines,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms,Reinforcement Learning,16000,,,,,,,https://github.com/openai/baselines/raw/master/data/logo.jpg
keras-rl,https://keras-rl.readthedocs.io/,keras-rl,Deep Reinforcement Learning for Keras.,Reinforcement Learning,5500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorLayer,https://tensorlayerx.com/,TensorLayer,Deep Learning and Reinforcement Learning Library for Scientists and Engineers,Reinforcement Learning,7300,,,,,,,https://github.com/tensorlayer/TensorLayer/raw/master/img/tl_transparent_logo.png
garage,https://github.com/rlworkgroup/garage,garage,A toolkit for reproducible reinforcement learning research.,Reinforcement Learning,1900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Stable Baselines,https://stable-baselines.readthedocs.io/,Stable Baselines,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms",Reinforcement Learning,4200,,,,,,,https://github.com/hill-a/stable-baselines/raw/master/docs//_static/img/logo.png
TRFL,https://github.com/google-deepmind/trfl,TRFL,TensorFlow Reinforcement Learning,Reinforcement Learning,3100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
SerpentAI,https://serpent.ai/,SerpentAI,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!,Reinforcement Learning,6800,,,,,,,http://assets.serpent.ai/serpent_landing.png
DeepMind Lab,https://github.com/google-deepmind/lab,DeepMind Lab,A customisable 3D platform for agent-based AI research,Reinforcement Learning,7200,,,,,,,https://github.com/google-deepmind/lab/raw/master/docs/template/logo.png
Maze,https://maze-rl.readthedocs.io/,Maze,Maze Applied Reinforcement Learning Framework,Reinforcement Learning,270,,,,,,,https://github.com/enlite-ai/maze/raw/main/docs/source/logos/main_logo.png
Recommenders,https://recommenders-team.github.io/recommenders/intro.html,Recommenders,Best Practices on Recommendation Systems,Recommender Systems,20000,,,,,,,https://raw.githubusercontent.com/recommenders-team/artwork/main/color/recommenders_color.svg
torchrec,https://pytorch.org/torchrec/,torchrec,Pytorch domain library for recommendation systems,Recommender Systems,2000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Cornac,https://cornac.preferred.ai/,Cornac,A Comparative Framework for Multimodal Recommender Systems,Recommender Systems,900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
scikit-surprise,https://surpriselib.com/,scikit-surprise,A Python scikit for building and analyzing recommender systems,Recommender Systems,6400,,,,,,,https://surpriselib.com/logo_white.svg
TF Ranking,https://github.com/tensorflow/ranking,TF Ranking,Learning to Rank in TensorFlow,Recommender Systems,2800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TF Recommenders,https://github.com/tensorflow/recommenders,TF Recommenders,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,Recommender Systems,1900,,,,,,,https://github.com/tensorflow/recommenders/raw/main/assets/full_logo.png
RecBole,https://recbole.io/,RecBole,"A unified, comprehensive and efficient recommendation library",Recommender Systems,3500,,,,,,,https://github.com/RUCAIBox/RecBole/raw/master/asset/logo.png
implicit,https://benfred.github.io/implicit/,implicit,Fast Python Collaborative Filtering for Implicit Feedback Datasets,Recommender Systems,3600,,,,,,,https://github.com/benfred/implicit/workflows/Build/badge.svg
lightfm,https://github.com/lyst/lightfm,lightfm,"A Python implementation of LightFM, a hybrid recommendation algorithm.",Recommender Systems,4800,,,,,,,https://github.com/lyst/lightfm/raw/master/lightfm.png
lkpy,https://lkpy.lenskit.org/,lkpy,Python recommendation toolkit,Recommender Systems,270,,,,,,,https://github.com/lenskit/lkpy/actions/workflows/test.yml/badge.svg
fastFM,https://ibayer.github.io/fastFM,fastFM,fastFM: A Library for Factorization Machines,Recommender Systems,1100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tensorrec,https://github.com/jfkirk/tensorrec,tensorrec,A TensorFlow recommendation algorithm and framework in Python.,Recommender Systems,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
recmetrics,https://github.com/statisticianinstilettos/recmetrics,recmetrics,A library of metrics for evaluating recommender systems,Recommender Systems,570,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Spotlight,https://github.com/maciejkula/spotlight,Spotlight,Deep recommender models using PyTorch.,Recommender Systems,3000,,,,,,,https://github.com/maciejkula/spotlight/raw/master/docs/_static/img/spotlight.png
Case Recommender,https://github.com/caserec/CaseRecommender,Case Recommender,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems,Recommender Systems,490,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Collie,https://collie.readthedocs.io/,Collie,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",Recommender Systems,110,,,,,,,https://collie.readthedocs.io/en/latest/_static/collie-sticker.png
OpenRec,https://www.openrec.ai/,OpenRec,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms,Recommender Systems,410,,,,,,,https://github.com/ylongqi/openrec-web/raw/gh-pages/openrec.png?raw=true
PySyft,https://www.openmined.org/,PySyft,Perform data science on data that remains in someone else's server,Privacy Machine Learning,9600,,,,,,,https://openmined.org/wp-content/uploads/2024/11/logo-1@2x.png
Opacus,https://opacus.ai/,Opacus,Training PyTorch models with differential privacy,Privacy Machine Learning,1700,,,,,,,https://github.com/pytorch/opacus/raw/main/website/static/img/opacus_logo.svg
FATE,https://github.com/FederatedAI/FATE,FATE,An Industrial Grade Federated Learning Framework,Privacy Machine Learning,5800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorFlow Privacy,https://github.com/tensorflow/privacy,TensorFlow Privacy,Library for training machine learning models with privacy for training data,Privacy Machine Learning,1900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
CrypTen,https://github.com/facebookresearch/CrypTen,CrypTen,A framework for Privacy Preserving Machine Learning,Privacy Machine Learning,1600,,,,,,,https://raw.githubusercontent.com/facebookresearch/CrypTen/master/docs/_static/img/CrypTen_Identity_Horizontal_Lockup_01_FullColor.png
TFEncrypted,https://tf-encrypted.io/,TFEncrypted,A Framework for Encrypted Machine Learning in TensorFlow,Privacy Machine Learning,1200,,,,,,,https://tf-encrypted.io/wp-content/uploads/2023/04/cropped-logo-1-220x47.png
PipelineDP,https://pipelinedp.io/,PipelineDP,"PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.",Privacy Machine Learning,280,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
wandb client,https://wandb.ai/,wandb client,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.",Workflow & Experiment Tracking,9300,,,,,,,https://github.com/wandb/wandb/raw/main/assets/logo-dark.svg#gh-dark-mode-only
DVC,https://dvc.org/,DVC,Data Versioning and ML Experiments,Workflow & Experiment Tracking,14000,,,,,,,https://github.com/iterative/dvc/workflows/Tests/badge.svg?branch=main
SageMaker SDK,https://sagemaker.readthedocs.io/,SageMaker SDK,A library for training and deploying machine learning models on Amazon SageMaker,Workflow & Experiment Tracking,2100,,,,,,,https://github.com/aws/sagemaker-python-sdk/raw/master/branding/icon/sagemaker-banner.png
Metaflow,https://metaflow.org/,Metaflow,Open Source AI/ML Platform,Workflow & Experiment Tracking,8400,,,,,,,https://user-images.githubusercontent.com/763451/89453116-96a57e00-d713-11ea-9fa6-82b29d4d6eff.png
tensorboardX,https://tensorboardx.readthedocs.io/en/latest/tensorboard.html,tensorboardX,"tensorboard for pytorch (and chainer, mxnet, numpy, ...)",Workflow & Experiment Tracking,7900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
snakemake,https://snakemake.github.io/,snakemake,This is the development home of the workflow management system Snakemake.,Workflow & Experiment Tracking,2300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ClearML,https://clear.ml/docs,ClearML,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution",Workflow & Experiment Tracking,5800,,,,,,,https://github.com/clearml/clearml/raw/master/docs/clearml-logo.svg#gh-light-mode-only
aim,https://aimstack.io/,aim,An easy-to-use & supercharged open-source experiment tracker.,Workflow & Experiment Tracking,5300,,,,,,,https://user-images.githubusercontent.com/13848158/226759622-063b725d-8b3e-4c75-80c7-11fb04b7adf5.png
AzureML SDK,https://docs.microsoft.com/azure/machine-learning/service/,AzureML SDK,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft,Workflow & Experiment Tracking,4100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
kaggle,https://github.com/Kaggle/kaggle-api,kaggle,Official Kaggle API,Workflow & Experiment Tracking,6400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
VisualDL,https://www.paddlepaddle.org.cn/paddle/visualdl,VisualDL,Deep Learning Visualization Toolki,Workflow & Experiment Tracking,4800,,,,,,,https://raw.githubusercontent.com/PaddlePaddle/VisualDL/develop/frontend/packages/core/public/images/logo-visualdl.svg?sanitize=true
Neptune.ai,https://neptune.ai/,Neptune.ai,The experiment tracker for foundation model training,Workflow & Experiment Tracking,590,,,,,,,https://raw.githubusercontent.com/neptune-ai/neptune-client/assets/readme/Github-cover.png
Labml,https://labml.ai/,Labml,Monitor deep learning model training and hardware usage from your mobile phone.,Workflow & Experiment Tracking,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ml-metadata,https://www.tensorflow.org/tfx/guide/mlmd,ml-metadata,For recording and retrieving metadata associated with ML developer and data scientist workflows.,Workflow & Experiment Tracking,630,,,,,,,https://www.gstatic.com/devrel-devsite/prod/v2c0608cfe9941cacf4435921a2ece588be3719df069d9fba67130a84e4743128/tensorflow/images/lockup.svg
TNT,https://pytorch.org/tnt/,TNT,A lightweight library for PyTorch training tools and utilities,Workflow & Experiment Tracking,1700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
quinn,https://mrpowers-io.github.io/quinn/,quinn,pyspark methods to enhance developer productivity,Workflow & Experiment Tracking,650,,,,,,,https://github.com/MrPowers/quinn/actions/workflows/ci.yml/badge.svg
gokart,https://gokart.readthedocs.io/en/latest/,gokart,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.",Workflow & Experiment Tracking,320,,,,,,,https://raw.githubusercontent.com/m3dev/gokart/master/docs/gokart_logo_side_isolation.svg
keepsake,https://keepsake.ai/,keepsake,Version control for machine learning,Workflow & Experiment Tracking,1600,,,,,,,https://github.com/replicate/keepsake/raw/main/web/public/images/notebook.png
caliban,https://caliban.readthedocs.io/,caliban,"Research workflows made easy, locally and in the Cloud.",Workflow & Experiment Tracking,500,,,,,,,https://github.com/google/caliban/workflows/build/badge.svg?branch=main
CometML,https://www.comet.com,CometML,"Comet’s machine learning platform integrates with your existing infrastructure and tools so you can manage, visualize, and optimize models—from training runs to production monitoring.",Workflow & Experiment Tracking,,,,,,,,https://www.comet.com/site/wp-content/uploads/2024/09/comet-logo-1.png
Catalyst,https://catalyst-team.com/,Catalyst,Accelerated deep learning R&D,Workflow & Experiment Tracking,3300,,,,,,,https://raw.githubusercontent.com/catalyst-team/catalyst-pics/master/pics/catalyst_logo.png
knockknock,https://github.com/huggingface/knockknock,knockknock,Knock Knock: Get notified when your training ends with only two additional lines of code,Workflow & Experiment Tracking,2800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
livelossplot,https://p.migdal.pl/livelossplot,livelossplot,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others",Workflow & Experiment Tracking,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
SKLL,https://skll.readthedocs.org/,SKLL,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,Workflow & Experiment Tracking,550,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Guild AI,https://guild.ai/,Guild AI,"Experiment tracking, ML developer tools",Workflow & Experiment Tracking,870,,,,,,,https://github.com/guildai/guildai/actions/workflows/ci.yml/badge.svg
hiddenlayer,https://github.com/waleedka/hiddenlayer,hiddenlayer,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",Workflow & Experiment Tracking,1800,,,,,,,https://github.com/waleedka/hiddenlayer/raw/master/assets/readme_graph.png
Studio.ml,https://studio.ml/,Studio.ml,Studio: Simplify and expedite model building process,Workflow & Experiment Tracking,380,,,,,,,https://github.com/studioml/studio/raw/master/docs/logo.png
lore,https://github.com/instacart/lore,lore,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers,Workflow & Experiment Tracking,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorBoard Logger,https://github.com/TeamHG-Memex/tensorboard_logger,TensorBoard Logger,Log TensorBoard events without touching TensorFlow,Workflow & Experiment Tracking,630,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorWatch,https://github.com/microsoft/tensorwatch,TensorWatch,"Debugging, monitoring and visualization for Python Machine Learning and Data Science",Workflow & Experiment Tracking,3400,,,,,,,https://github.com/microsoft/tensorwatch/raw/master/docs/images/teaser.gif
MXBoard,https://github.com/awslabs/mxboard,MXBoard,Logging MXNet data for visualization in TensorBoard.,Workflow & Experiment Tracking,320,,,,,,,https://github.com/dmlc/web-data/raw/master/mxnet/tensorboard/mxboard_cover.png
datmo,https://github.com/datmo/datmo,datmo,Open source production model management tool for data scientists,Workflow & Experiment Tracking,340,,,,,,,https://github.com/datmo/datmo/raw/master/images/datmo-logo.png
chitra,https://chitra.readthedocs.io/en/latest/,chitra,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.",Workflow & Experiment Tracking,220,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
steppy,https://github.com/minerva-ml/steppy,steppy,"Lightweight, Python library for fast and reproducible experimentation.",Workflow & Experiment Tracking,130,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ModelChimp,https://www.modelchimp.com/,ModelChimp,Experiment tracking for machine and deep learning projects,Workflow & Experiment Tracking,130,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
traintool,https://traintool.jrieke.com/,traintool,Train off-the-shelf machine learning models in one line of code,Workflow & Experiment Tracking,12,,,,,,,https://github.com/jrieke/traintool/raw/master/docs/assets/cover.png
onnx,https://onnx.ai/,onnx,Open standard for machine learning interoperability,Model Serialization & Deployment,18000,,,,,,,https://github.com/onnx/onnx/raw/main/docs/onnx-horizontal-color.png
huggingface_hub,https://huggingface.co/docs/huggingface_hub,huggingface_hub,The official Python client for the Huggingface Hub.,Model Serialization & Deployment,2200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Core ML Tools,https://coremltools.readme.io/,Core ML Tools,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",Model Serialization & Deployment,4500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
BentoML,https://bentoml.com/,BentoML,"The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!",Model Serialization & Deployment,7300,,,,,,,https://github.com/bentoml/BentoML/assets/489344/de4da660-6aeb-4e5a-bf76-b7177435444d
TorchServe,https://pytorch.org/serve/,TorchServe,"Serve, optimize and scale PyTorch models in production",Model Serialization & Deployment,4300,,,,,,,https://github.com/pytorch/serve/actions/workflows/torchserve-nightly-build.yml/badge.svg
hls4ml,https://fastmachinelearning.org/hls4ml,hls4ml,Machine learning on FPGAs using HLS,Model Serialization & Deployment,1300,,,,,,,https://github.com/fastmachinelearning/fastmachinelearning.github.io/raw/master/images/hls4ml_logo.svg
Hummingbird,https://github.com/microsoft/hummingbird,Hummingbird,Hummingbird compiles trained ML models into tensor computation for faster inference.,Model Serialization & Deployment,3400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
nebullvm,https://www.nebuly.com/,nebullvm,A collection of libraries to optimise AI model performances,Model Serialization & Deployment,8400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tfdeploy,https://tfdeploy.readthedocs.io/,tfdeploy,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,Model Serialization & Deployment,350,,,,,,,https://raw.githubusercontent.com/riga/tfdeploy/master/logo.png
mmdnn,https://github.com/microsoft/MMdnn,mmdnn,"MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.",Model Serialization & Deployment,5800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
m2cgen,https://github.com/BayesWitnesses/m2cgen,m2cgen,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies",Model Serialization & Deployment,2800,,,,,,,https://github.com/BayesWitnesses/m2cgen/workflows/GitHub%20Actions/badge.svg?branch=master
cortex,https://cortexlabs.com/,cortex,Production infrastructure for machine learning at scale,Model Serialization & Deployment,8000,,,,,,,https://docs.cortexlabs.com/~gitbook/image?url=https%3A%2F%2F3050650365-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-legacy-files%2Fo%2Fspaces%252F-LWyM3C2APR5oPjSoE4V%252Favatar-rectangle-1608251607798.png%3Fgeneration%3D1608251608560049%26alt%3Dmedia&width=260&dpr=1&quality=100&sign=796b3a84&sv=2
sklearn-porter,https://github.com/nok/sklearn-porter,sklearn-porter,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",Model Serialization & Deployment,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
OMLT,https://github.com/cog-imperial/OMLT,OMLT,Represent trained machine learning models as Pyomo optimization formulations,Model Serialization & Deployment,290,,,,,,,https://user-images.githubusercontent.com/282580/146039921-b3ea73af-7da3-47c1-bdfb-c40ad537a737.png
pytorch2keras,https://pytorch2keras.readthedocs.io/en/latest/,pytorch2keras,PyTorch to Keras model convertor,Model Serialization & Deployment,860,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Larq Compute Engine,https://docs.larq.dev/compute-engine,Larq Compute Engine,Highly optimized inference engine for Binarized Neural Networks,Model Serialization & Deployment,240,,,,,,,https://user-images.githubusercontent.com/13285808/74535800-84017780-4f2e-11ea-9169-52f5ac83d685.png
modelkit,https://cornerstone-ondemand.github.io/modelkit/,modelkit,Toolkit for developing and maintaining ML models,Model Serialization & Deployment,150,,,,,,,https://raw.githubusercontent.com/cornerstone-ondemand/modelkit/main/.github/resources/logo.svg
backprop,https://backprop.co/,backprop,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",Model Serialization & Deployment,240,,,,,,,https://github.com/backprop-ai/backprop/raw/main/.github/header.png
ml-ane-transformers,https://github.com/apple/ml-ane-transformers,ml-ane-transformers,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE),Model Serialization & Deployment,2600,,,,,,,https://github.com/apple/ml-ane-transformers/raw/main/assets/iPhone13_iOS16_latency_comparison.png
arviz,https://python.arviz.org/,arviz,Exploratory analysis of Bayesian models with Python,Model Interpretability,1600,,,,,,,https://raw.githubusercontent.com/arviz-devs/arviz-project/main/arviz_logos/ArviZ.png#gh-light-mode-only
evaluate,https://huggingface.co/docs/evaluate,evaluate,🤗 Evaluate: A library for easily evaluating machine learning models and datasets.,Model Interpretability,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
explainerdashboard,https://explainerdashboard.readthedocs.io/,explainerdashboard,"Quickly build Explainable AI dashboards that show the inner workings of so-called ""blackbox"" machine learning models.",Model Interpretability,2300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
DoWhy,https://www.pywhy.org/dowhy,DoWhy,"DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.",Model Interpretability,7200,,,,,,,https://github.com/py-why/dowhy/actions/workflows/ci.yml/badge.svg
LIT,https://pair-code.github.io/lit,LIT,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.,Model Interpretability,3500,,,,,,,https://pair-code.github.io/lit/assets/images/favicon.png
pyLDAvis,https://github.com/bmabey/pyLDAvis,pyLDAvis,Python library for interactive topic model visualization. Port of the R LDAvis package.,Model Interpretability,1800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Model Analysis,https://github.com/tensorflow/model-analysis,Model Analysis,Model analysis tools for TensorFlow,Model Interpretability,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
dtreeviz,https://github.com/parrt/dtreeviz,dtreeviz,A python library for decision tree visualization and model interpretation.,Model Interpretability,3000,,,,,,,https://github.com/parrt/dtreeviz/raw/master/testing/samples/iris-TD-2.svg
imodels,https://csinva.io/imodels,imodels,"Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).",Model Interpretability,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Fairness 360,https://aif360.res.ibm.com/,Fairness 360,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.",Model Interpretability,2500,,,,,,,https://github.com/Trusted-AI/AIF360/actions/workflows/ci.yml/badge.svg
responsible-ai-widgets,https://responsibleaitoolbox.ai/,responsible-ai-widgets,"Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.",Model Interpretability,1400,,,,,,,https://responsibleaitoolbox.ai/wp-content/uploads/2021/12/microsoft.svg
CausalNex,https://causalnex.readthedocs.io/,CausalNex,A Python library that helps data scientists to infer causation rather than observing correlation.,Model Interpretability,2300,,,,,,,https://raw.githubusercontent.com/quantumblacklabs/causalnex/master/docs/source/causalnex_banner.png
Explainability 360,https://aix360.res.ibm.com/,Explainability 360,Interpretability and explainability of data and machine learning models,Model Interpretability,1600,,,,,,,https://github.com/Trusted-AI/AIX360/actions/workflows/Build.yml/badge.svg
What-If Tool,https://pair-code.github.io/what-if-tool,What-If Tool,Source code/webpage/demos for the What-If Tool,Model Interpretability,930,,,,,,,https://github.com/PAIR-code/what-if-tool/raw/master/img/wit-smile-intro.png
random-forest-importances,https://github.com/parrt/random-forest-importances,random-forest-importances,Code to compute permutation and drop-column importances in Python scikit-learn models,Model Interpretability,600,,,,,,,https://github.com/parrt/random-forest-importances/raw/master/article/images/corrheatmap.svg
ecco,https://ecco.readthedocs.io/,ecco,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).",Model Interpretability,2000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
DiCE,https://interpretml.github.io/DiCE/,DiCE,Generate Diverse Counterfactual Explanations for any machine learning model.,Model Interpretability,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
fairness-indicators,https://github.com/tensorflow/fairness-indicators,fairness-indicators,Tensorflow's Fairness Evaluation and Visualization Toolkit,Model Interpretability,340,,,,,,,https://raw.githubusercontent.com/tensorflow/fairness-indicators/master/fairness_indicators/images/fairnessIndicators.png
LOFO,https://github.com/aerdem4/lofo-importance,LOFO,Leave One Feature Out Importance,Model Interpretability,820,,,,,,,https://github.com/aerdem4/lofo-importance/raw/master/docs/lofo_logo.png?raw=true
ExplainX.ai,https://github.com/explainX/explainx,ExplainX.ai,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu,Model Interpretability,420,,,,,,,https://github.com/explainX/explainx/raw/master/explainx_logo.png
Deep Checks,https://docs.deepchecks.com/stable,Deep Checks,"Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.",Model Interpretability,3700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
yellowbrick,https://www.scikit-yb.org/,yellowbrick,Visual analysis and diagnostic tools to facilitate machine learning model selection.,Model Interpretability,4300,,,,,,,https://github.com/DistrictDataLabs/yellowbrick/actions/workflows/ci.yml/badge.svg?branch=develop
scikit-plot,https://github.com/reiinakano/scikit-plot,scikit-plot,An intuitive library to add plotting functionality to scikit-learn objects.,Model Interpretability,2400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
DALEX,https://dalex.drwhy.ai/,DALEX,moDel Agnostic Language for Exploration and eXplanation,Model Interpretability,1400,,,,,,,https://github.com/ModelOriented/DALEX/raw/master/man/figures/logo.png
Lucid,https://github.com/tensorflow/lucid,Lucid,A collection of infrastructure and tools for research in neural network interpretability.,Model Interpretability,4700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
iNNvestigate,https://github.com/albermax/innvestigate,iNNvestigate,A toolbox to iNNvestigate neural networks' predictions!,Model Interpretability,1300,,,,,,,https://github.com/albermax/innvestigate/raw/master/docs/assets/logo.svg
checklist,https://github.com/marcotcr/checklist,checklist,Beyond Accuracy: Behavioral Testing of NLP models with CheckList,Model Interpretability,2000,,,,,,,https://github.com/marcotcr/checklist/raw/master/notebooks/tutorials/visual_suggest.gif
keract,https://github.com/philipperemy/keract,keract,Layers Outputs and Gradients in Keras. Made easy.,Model Interpretability,1100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tf-explain,https://tf-explain.readthedocs.io/,tf-explain,Interpretability Methods for tf.keras models with Tensorflow 2.x,Model Interpretability,1000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Quantus,https://quantus.readthedocs.io/,Quantus,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations,Model Interpretability,570,,,,,,,https://raw.githubusercontent.com/understandable-machine-intelligence-lab/Quantus/main/quantus_logo.png
deeplift,https://github.com/kundajelab/deeplift,deeplift,Public facing deeplift repo,Model Interpretability,840,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TreeInterpreter,https://github.com/andosa/treeinterpreter,TreeInterpreter,"Package for interpreting scikit-learn's decision tree and random forest predictions. Allows decomposing each prediction into bias and feature contribution components as described in http://blog.datadive.net/interpreting-random-forests/. For a dataset with n features, each prediction on the dataset is decomposed as prediction = bias + feature_1_contribution + ... + feature_n_contribution.",Model Interpretability,740,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tcav,https://github.com/tensorflow/tcav,tcav,Code for the TCAV ML interpretability project,Model Interpretability,630,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
sklearn-evaluation,https://sklearn-evaluation.ploomber.io/,sklearn-evaluation,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.",Model Interpretability,460,,,,,,,https://github.com/ploomber/sklearn-evaluation/workflows/CI/badge.svg
model-card-toolkit,https://www.tensorflow.org/responsible_ai/model_card_toolkit/guide,model-card-toolkit,A toolkit that streamlines and automates the generation of model cards,Model Interpretability,430,,,,,,,https://github.com/tensorflow/model-card-toolkit/actions/workflows/ci.yml/badge.svg
Anchor,https://github.com/marcotcr/anchor,Anchor,"Code for ""High-Precision Model-Agnostic Explanations"" paper",Model Interpretability,800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
FlashTorch,https://youtu.be/18Iw4qYqfPo,FlashTorch,Visualization toolkit for neural networks in PyTorch! Demo -->,Model Interpretability,740,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Skater,https://github.com/GapData/skater,Skater,Python Library for Model Interpretation/Explanations,Model Interpretability,1100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Attribution Priors,https://github.com/suinleelab/attributionpriors,Attribution Priors,Tools for training explainable models using attribution priors.,Model Interpretability,120,,,,,,,https://raw.githubusercontent.com/suinleelab/attributionpriors/master/images/image.png
bias-detector,https://github.com/intuit/bias-detector,bias-detector,Bias Detector is a python package for detecting gender/race bias in binary classification models.,Model Interpretability,43,,,,,,,https://raw.githubusercontent.com/intuit/bias-detector/master/bias_detector/static/libra.svg
contextual-ai,https://contextual-ai.readthedocs.io/en/latest,contextual-ai,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method instead, it takes a human-centric view and approach to AI.",Model Interpretability,86,,,,,,,https://github.com/SAP/contextual-ai/raw/master/imgs/logo.png?raw=true
Milvus,https://milvus.io/,Milvus,"Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search",Vector Similarity Search (ANN),32000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Faiss,https://faiss.ai/,Faiss,A library for efficient similarity search and clustering of dense vectors.,Vector Similarity Search (ANN),32000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Annoy,https://github.com/spotify/annoy,Annoy,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk,Vector Similarity Search (ANN),13000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
hnswlib,https://github.com/nmslib/hnswlib,hnswlib,Header-only C++/python library for fast approximate nearest neighbors,Vector Similarity Search (ANN),4500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
USearch,https://unum-cloud.github.io/usearch/,USearch,"Fast Open-Source Search & Clustering engine — for Vectors & Strings— in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram",Vector Similarity Search (ANN),2400,,,,,,,https://github.com/unum-cloud/.github/raw/main/assets/discord.svg
NMSLIB,https://github.com/nmslib/nmslib,NMSLIB,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.,Vector Similarity Search (ANN),3400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PyNNDescent,https://github.com/lmcinnes/pynndescent,PyNNDescent,A Python nearest neighbor descent for approximate nearest neighbors,Vector Similarity Search (ANN),910,,,,,,,https://github.com/lmcinnes/pynndescent/raw/master/doc/pynndescent_logo.png
NGT,https://github.com/yahoojapan/NGT,NGT,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data,Vector Similarity Search (ANN),1300,,,,,,,https://github.com/yahoojapan/NGT/raw/main/assets/logo.svg
Magnitude,https://github.com/plasticityai/magnitude,Magnitude,"A fast, efficient universal vector embedding utility package.",Vector Similarity Search (ANN),1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
NearPy,https://github.com/pixelogik/NearPy,NearPy,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.",Vector Similarity Search (ANN),770,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
N2,https://github.com/kakao/n2,N2,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets,Vector Similarity Search (ANN),570,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PySparNN,https://github.com/facebookresearch/pysparnn,PySparNN,Approximate Nearest Neighbor Search for Sparse Data in Python!,Vector Similarity Search (ANN),920,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tensorflow-probability,https://www.tensorflow.org/probability/,tensorflow-probability,Probabilistic reasoning and statistical analysis in TensorFlow,Probabilistics & Statistics,4300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
patsy,https://github.com/pydata/patsy,patsy,Describing statistical models in Python using symbolic formulas,Probabilistics & Statistics,960,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pgmpy,https://pgmpy.org/,pgmpy,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.",Probabilistics & Statistics,2800,,,,,,,https://raw.githubusercontent.com/pgmpy/pgmpy/dev/logo/logo_color.png
GPyTorch,https://github.com/cornellius-gp/gpytorch,GPyTorch,A highly efficient implementation of Gaussian Processes in PyTorch,Probabilistics & Statistics,3600,,,,,,,https://github.com/cornellius-gp/gpytorch/actions/workflows/run_test_suite.yml/badge.svg
pandas-ta,https://twopirllc.github.io/pandas-ta/,pandas-ta,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators,Probabilistics & Statistics,5600,,,,,,,https://github.com/twopirllc/pandas-ta/raw/main/images/logo.png
hmmlearn,https://hmmlearn.readthedocs.org/,hmmlearn,"Hidden Markov Models in Python, with scikit-learn like API",Probabilistics & Statistics,3100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
GPflow,https://github.com/GPflow/GPflow,GPflow,Gaussian processes in TensorFlow,Probabilistics & Statistics,1900,,,,,,,https://github.com/GPflow/GPflow/raw/develop/doc/sphinx/_static/gpflow_logo.svg
SALib,https://salib.github.io/SALib/,SALib,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",Probabilistics & Statistics,890,,,,,,,https://raw.githubusercontent.com/SALib/SALib/main/docs/assets/logo.png
bambi,https://bambinos.github.io/bambi/,bambi,BAyesian Model-Building Interface (Bambi) in Python.,Probabilistics & Statistics,1100,,,,,,,https://raw.githubusercontent.com/bambinos/bambi/main/docs/logos/RGB/Bambi_logo.png
pomegranate,https://pomegranate.readthedocs.org/en/latest/,pomegranate,"Fast, flexible and easy to use probabilistic modelling in Python.",Probabilistics & Statistics,3400,,,,,,,https://github.com/jmschrei/pomegranate/raw/master/docs/logo/pomegranate-logo.png
scikit-posthocs,https://scikit-posthocs.rtfd.io/,scikit-posthocs,Multiple Pairwise Comparisons (Post Hoc) Tests in Python,Probabilistics & Statistics,350,,,,,,,https://github.com/maximtrp/scikit-posthocs/raw/master/images/logo.png
Orbit,https://orbit-ml.readthedocs.io/en/stable/,Orbit,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,Probabilistics & Statistics,1900,,,,,,,https://raw.githubusercontent.com/uber/orbit/dev/docs/img/orbit-banner.png
TorchUncertainty,https://torch-uncertainty.github.io/,TorchUncertainty,Open-source framework for uncertainty and deep learning models in PyTorch.,Probabilistics & Statistics,330,,,,,,,https://github.com/ENSTA-U2IS-AI/torch-uncertainty/raw/main/docs/source/_static/images/torch_uncertainty.png
Baal,https://baal.readthedocs.io/,Baal,Bayesian active learning library for research and industrial usecases.,Probabilistics & Statistics,880,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
filterpy,https://github.com/rlabbe/filterpy,filterpy,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.",Probabilistics & Statistics,3400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pingouin,https://pingouin-stats.org/,pingouin,Statistical package in Python based on Pandas,Probabilistics & Statistics,1700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pyhsmm,https://github.com/mattjj/pyhsmm,pyhsmm,"This is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.",Probabilistics & Statistics,550,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Funsor,https://funsor.pyro.ai/,Funsor,Functional tensors for probabilistic programming,Probabilistics & Statistics,240,,,,,,,https://github.com/pyro-ppl/funsor/workflows/CI/badge.svg
ART,https://adversarial-robustness-toolbox.readthedocs.io/en/latest/,ART,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams",Adversarial Robustness,5000,,,,,,,https://github.com/Trusted-AI/adversarial-robustness-toolbox/raw/main/docs/images/art_lfai.png?raw=true
TextAttack,https://textattack.readthedocs.io/en/master/,TextAttack,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/",Adversarial Robustness,3000,,,,,,,https://github.com/QData/TextAttack/workflows/Github%20PyTest/badge.svg
Foolbox,https://foolbox.jonasrauber.de/,Foolbox,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX",Adversarial Robustness,2800,,,,,,,https://raw.githubusercontent.com/bethgelab/foolbox/master/guide/.vuepress/public/logo_small.png
CleverHans,https://github.com/cleverhans-lab/cleverhans,CleverHans,"An adversarial example library for constructing attacks, building defenses, and benchmarking both",Adversarial Robustness,6200,,,,,,,https://github.com/tensorflow/cleverhans/raw/master/assets/logo.png?raw=true
advertorch,https://github.com/BorealisAI/advertorch,advertorch,A Toolbox for Adversarial Robustness Research,Adversarial Robustness,1300,,,,,,,https://raw.githubusercontent.com/borealisai/advertorch/master/assets/logo.png?raw=true
AdvBox,https://github.com/advboxes/AdvBox,AdvBox,"Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle, PyTorch, Caffe2, MxNet, Keras, TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.",Adversarial Robustness,1400,,,,,,,https://github.com/advboxes/AdvBox/raw/master/pic/logo.png
robustness,https://github.com/MadryLab/robustness,robustness,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",Adversarial Robustness,920,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
textflint,https://github.com/textflint/textflint,textflint,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing,Adversarial Robustness,640,,,,,,,https://github.com/textflint/textflint/raw/master/images/logo.png
Adversary,https://github.com/airbnb/artificial-adversary,Adversary,Tool to generate adversarial text examples and test machine learning models against them,Adversarial Robustness,400,,,,,,,https://github.com/airbnb/artificial-adversary/raw/master/adversary_name.png
optimum,https://huggingface.co/docs/optimum/main/,optimum,"Accelerate inference and training of — Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools",GPU & Accelerator Utilities,2600,,,,,,,https://github.com/huggingface/optimum/actions/workflows/test_onnxruntime.yml/badge.svg
cuDF,https://docs.rapids.ai/api/cudf/stable/,cuDF,cuDF - GPU DataFrame Library,GPU & Accelerator Utilities,8600,,,,,,,https://github.com/rapidsai/cudf/raw/branch-25.02/img/rapids_logo.png
Apex,https://github.com/NVIDIA/apex,Apex,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch,GPU & Accelerator Utilities,8500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
cuML,https://docs.rapids.ai/api/cuml/stable/,cuML,cuML - RAPIDS Machine Learning Library,GPU & Accelerator Utilities,4300,,,,,,,https://github.com/rapidsai/cuml/raw/branch-25.02/img/rapids_logo.png
PyCUDA,https://mathema.tician.de/software/pycuda,PyCUDA,"CUDA integration for Python, plus shiny features",GPU & Accelerator Utilities,1900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
gpustat,https://pypi.python.org/pypi/gpustat,gpustat,A simple command-line utility for querying and monitoring GPU status,GPU & Accelerator Utilities,4100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ArrayFire,https://arrayfire.com/,ArrayFire,ArrayFire: a general purpose GPU library.,GPU & Accelerator Utilities,4600,,,,,,,https://arrayfire.com/wp-content/uploads/2016/08/logo_blue_background.jpg
cuGraph,https://docs.rapids.ai/api/cugraph/stable/,cuGraph,cuGraph - RAPIDS Graph Analytics Library,GPU & Accelerator Utilities,1800,,,,,,,https://github.com/rapidsai/cugraph/raw/branch-25.02/img/cugraph_logo_2.png
DALI,https://docs.nvidia.com/deeplearning/dali/user-guide/docs/index.html,DALI,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.,GPU & Accelerator Utilities,5200,,,,,,,https://docs.nvidia.com/deeplearning/dali/user-guide/docs/_static/nvidia-logo-horiz-rgb-blk-for-screen.svg
Vulkan Kompute,https://kompute.cc/,Vulkan Kompute,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.",GPU & Accelerator Utilities,2000,,,,,,,https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute.jpg
Merlin,https://github.com/NVIDIA-Merlin/Merlin,Merlin,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.",GPU & Accelerator Utilities,790,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
GPUtil,https://github.com/anderskm/gputil,GPUtil,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python,GPU & Accelerator Utilities,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
scikit-cuda,https://scikit-cuda.readthedocs.org/,scikit-cuda,Python interface to GPU-powered libraries,GPU & Accelerator Utilities,990,,,,,,,https://raw.githubusercontent.com/lebedov/scikit-cuda/master/docs/source/_static/logo.png
py3nvml,https://github.com/fbcotter/py3nvml,py3nvml,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,GPU & Accelerator Utilities,240,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
BlazingSQL,https://blazingsql.com/,BlazingSQL,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",GPU & Accelerator Utilities,1900,,,,,,,https://blazingsql.com/wp-content/uploads/2023/02/17-1.jpg
nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,nvidia-ml-py3,Python 3 Bindings for the NVIDIA Management Library,GPU & Accelerator Utilities,130,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
cuSignal,https://github.com/rapidsai/cusignal,cuSignal,cuSignal - RAPIDS Signal Processing Library,GPU & Accelerator Utilities,720,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,SpeedTorch,Library for faster pinned CPU <-> GPU transfer in Pytorch,GPU & Accelerator Utilities,680,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
ipyexperiments,https://github.com/stas00/ipyexperiments,ipyexperiments,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers",GPU & Accelerator Utilities,210,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorFlow Datasets,https://www.tensorflow.org/datasets,TensorFlow Datasets,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",Tensorflow Utilities,4300,,,,,,,https://github.com/tensorflow/datasets/actions/workflows/pytest.yml/badge.svg
TFX,https://tensorflow.github.io/tfx/,TFX,TFX is an end-to-end platform for deploying production ML pipelines,Tensorflow Utilities,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tensorflow-hub,https://tensorflow.org/hub,tensorflow-hub,A library for transfer learning by reusing parts of TensorFlow models.,Tensorflow Utilities,3500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TF Addons,https://github.com/tensorflow/addons,TF Addons,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons,Tensorflow Utilities,1700,,,,,,,https://github.com/tensorflow/community/raw/master/sigs/logos/SIGAddons.png
TensorFlow I/O,https://github.com/tensorflow/io,TensorFlow I/O,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO",Tensorflow Utilities,710,,,,,,,https://github.com/tensorflow/community/raw/master/sigs/logos/SIGIO.png
TF Model Optimization,https://www.tensorflow.org/model_optimization,TF Model Optimization,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",Tensorflow Utilities,1500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorFlow Transform,https://github.com/tensorflow/transform,TensorFlow Transform,Input pipeline framework,Tensorflow Utilities,990,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Neural Structured Learning,https://www.tensorflow.org/neural_structured_learning,Neural Structured Learning,Training neural models with structured signals.,Tensorflow Utilities,980,,,,,,,https://github.com/tensorflow/neural-structured-learning/raw/master/g3doc/images/nsl_overview.png
TF Compression,https://github.com/tensorflow/compression,TF Compression,Data compression in TensorFlow,Tensorflow Utilities,870,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorFlow Cloud,https://github.com/tensorflow/cloud,TensorFlow Cloud,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.,Tensorflow Utilities,380,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Saliency,https://pair-code.github.io/saliency/,Saliency,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",Tensorflow Utilities,960,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tensor2tensor,https://github.com/tensorflow/tensor2tensor,tensor2tensor,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,Tensorflow Utilities,16000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Keras-Preprocessing,https://github.com/keras-team/keras-preprocessing,Keras-Preprocessing,"Utilities for working with image data, text data, and sequence data.",Tensorflow Utilities,1000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
efficientnet,https://arxiv.org/abs/1905.11946,efficientnet,Implementation of EfficientNet model. Keras and TensorFlow Keras.,Tensorflow Utilities,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TensorNets,https://github.com/taehoonlee/tensornets,TensorNets,High level network definitions with pre-trained weights in TensorFlow,Tensorflow Utilities,1000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tffm,https://github.com/geffy/tffm,tffm,TensorFlow implementation of an arbitrary order Factorization Machine,Tensorflow Utilities,780,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
equinox,https://docs.kidger.site/equinox/,equinox,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/,Jax Utilities,2200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
evojax,https://github.com/google/evojax,evojax,"EvoJAX is a scalable, general purpose, hardware-accelerated neuroevolution toolkit. Built on top of the JAX library, this toolkit enables neuroevolution algorithms to work with neural networks running in parallel across multiple TPU/GPUs.",Jax Utilities,860,,,,,,,https://github.com/google/evojax/raw/main/img/evojax_supervised.png
jaxdf,https://github.com/ucl-bug/jaxdf,jaxdf,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations,Jax Utilities,120,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
MLxtend,https://rasbt.github.io/mlxtend/,MLxtend,A library of extension and helper modules for Python's data analysis and machine learning libraries.,Sklearn Utilities,4900,,,,,,,https://rasbt.github.io/mlxtend/img/logo.png
scikit-learn-intelex,https://intel.github.io/scikit-learn-intelex/,scikit-learn-intelex,Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application,Sklearn Utilities,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
imbalanced-learn,https://imbalanced-learn.org/,imbalanced-learn,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning,Sklearn Utilities,6900,,,,,,,https://github.com/scikit-learn-contrib/imbalanced-learn/actions/workflows/tests.yml/badge.svg
category_encoders,https://contrib.scikit-learn.org/category_encoders/,category_encoders,A library of sklearn compatible categorical variable encoders,Sklearn Utilities,2400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
scikit-lego,https://koaning.github.io/scikit-lego/,scikit-lego,Extra blocks for scikit-learn pipelines.,Sklearn Utilities,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
scikit-opt,https://scikit-opt.github.io/scikit-opt/#/en/,scikit-opt,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)",Sklearn Utilities,5300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
iterative-stratification,https://github.com/trent-b/iterative-stratification,iterative-stratification,scikit-learn cross validators for iterative stratification of multilabel data,Sklearn Utilities,860,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
dabl,https://dabl.github.io/,dabl,Data Analysis Baseline Library,Sklearn Utilities,730,,,,,,,https://github.com/dabl/dabl/actions/workflows/ci.yml/badge.svg
scikit-tda,https://docs.scikit-tda.org/,scikit-tda,Topological Data Analysis for Python🐍,Sklearn Utilities,530,,,,,,,https://docs.scikit-tda.org/en/latest/_static/logo.png
DESlib,https://github.com/scikit-learn-contrib/DESlib,DESlib,A Python library for dynamic classifier and ensemble selection,Sklearn Utilities,480,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
scikit-survival,https://github.com/sebp/scikit-survival,scikit-survival,Survival analysis built on top of scikit-learn,Sklearn Utilities,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
fancyimpute,https://github.com/iskandr/fancyimpute,fancyimpute,Multivariate imputation and matrix completion algorithms implemented in Python,Sklearn Utilities,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
scikit-multilearn,https://scikit.ml/,scikit-multilearn,A scikit-learn based module for multi-label et. al. classification,Sklearn Utilities,920,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,sklearn-crfsuite,scikit-learn inspired API for CRFsuite,Sklearn Utilities,430,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
sklearn-contrib-lightning,https://contrib.scikit-learn.org/lightning/,sklearn-contrib-lightning,"Large-scale linear classification, regression and ranking in Python",Sklearn Utilities,1700,,,,,,,https://github.com/scikit-learn-contrib/lightning/actions/workflows/main.yml/badge.svg?branch=master
combo,https://pycombo.readthedocs.io/,combo,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination,Sklearn Utilities,640,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
celer,https://mathurinm.github.io/celer/,celer,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",Sklearn Utilities,210,,,,,,,https://github.com/mathurinm/celer/workflows/build/badge.svg
skggm,https://skggm.github.io/skggm/tour,skggm,Scikit-learn compatible estimation of general graphical models,Sklearn Utilities,240,,,,,,,https://skggm.github.io/skggm/assets/skggm_network.png
accelerate,https://huggingface.co/docs/accelerate,accelerate,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support",Pytorch Utilities,8100,,,,,,,https://raw.githubusercontent.com/huggingface/accelerate/main/docs/source/imgs/accelerate_logo.png
PML,https://kevinmusgrave.github.io/pytorch-metric-learning/,PML,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",Pytorch Utilities,6100,,,,,,,https://github.com/KevinMusgrave/pytorch-metric-learning/raw/master/docs/imgs/Logo2.png
tinygrad,https://github.com/tinygrad/tinygrad,tinygrad,You like pytorch? You like micrograd? You love tinygrad!,Pytorch Utilities,27000,,,,,,,https://github.com/tinygrad/tinygrad/raw/master/docs/logo_tiny_dark.svg
torchdiffeq,https://github.com/rtqichen/torchdiffeq,torchdiffeq,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,Pytorch Utilities,5700,,,,,,,https://github.com/rtqichen/torchdiffeq/raw/master/assets/ode_demo.gif
torchsde,https://github.com/google-research/torchsde,torchsde,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,Pytorch Utilities,1600,,,,,,,https://github.com/google-research/torchsde/actions/workflows/run_tests.yml/badge.svg
torch-scatter,https://pytorch-scatter.readthedocs.io/,torch-scatter,PyTorch Extension Library of Optimized Scatter Operations,Pytorch Utilities,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
EfficientNets,https://github.com/rwightman/gen-efficientnet-pytorch,EfficientNets,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS",Pytorch Utilities,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Pytorch Toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,Pytorch Toolbelt,PyTorch extensions for fast R&D prototyping and Kaggle farming,Pytorch Utilities,1500,,,,,,,https://github.com/BloodAxe/pytorch-toolbelt/raw/develop/docs/480px-Flag_of_Ukraine.jpg
PyTorch Sparse,https://github.com/rusty1s/pytorch_sparse,PyTorch Sparse,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations,Pytorch Utilities,1000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pytorchviz,https://github.com/szagoruyko/pytorchviz,pytorchviz,A small package to create visualizations of PyTorch execution graphs,Pytorch Utilities,3300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pretrainedmodels,https://github.com/Cadene/pretrained-models.pytorch,pretrainedmodels,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",Pytorch Utilities,9100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pytorch-summary,https://github.com/sksq96/pytorch-summary,pytorch-summary,Model summary in PyTorch similar to `model.summary()` in Keras,Pytorch Utilities,4000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,EfficientNet-PyTorch,A PyTorch implementation of EfficientNet,Pytorch Utilities,8000,,,,,,,https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnetv2-image.png
pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,pytorch-optimizer,torch-optimizer -- collection of optimizers for Pytorch,Pytorch Utilities,3100,,,,,,,https://github.com/jettify/pytorch-optimizer/workflows/CI/badge.svg
lightning-flash,https://lightning-flash.readthedocs.io/,lightning-flash,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains,Pytorch Utilities,1700,,,,,,,https://github.com/Lightning-Universe/lightning-flash/raw/master/docs/source/_static/images/logo.svg
TabNet,https://arxiv.org/pdf/1908.07442.pdf,TabNet,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf,Pytorch Utilities,2700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Higher,https://github.com/facebookresearch/higher,Higher,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.,Pytorch Utilities,1600,,,,,,,https://github.com/facebookresearch/higher/raw/main/resources/higher_logo.png
Torchmeta,https://tristandeleu.github.io/pytorch-meta/,Torchmeta,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch,Pytorch Utilities,2000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
micrograd,https://github.com/karpathy/micrograd,micrograd,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API,Pytorch Utilities,11000,,,,,,,https://github.com/karpathy/micrograd/raw/master/puppy.jpg
SRU,https://arxiv.org/abs/1709.02755,SRU,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755),Pytorch Utilities,2100,,,,,,,https://raw.githubusercontent.com/taolei87/sru/master/imgs/speed.png
Antialiased CNNs,https://richzhang.github.io/antialiased-cnns/,Antialiased CNNs,pip install antialiased-cnns to improve stability and accuracy,Pytorch Utilities,1700,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
AdaBound,https://www.luolc.com/publications/adabound/,AdaBound,An optimizer that trains as fast as Adam and as good as SGD.,Pytorch Utilities,2900,,,,,,,https://www.luolc.com/assets/research/adabound/adabound-banner.png
reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,reformer-pytorch,"Reformer, the efficient Transformer, in Pytorch",Pytorch Utilities,2100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Poutyne,https://poutyne.org/,Poutyne,A simplified framework and utilities for PyTorch,Pytorch Utilities,570,,,,,,,https://raw.githubusercontent.com/GRAAL-Research/poutyne/master/docs/source/_static/logos/poutyne-dark.png
Performer Pytorch,https://github.com/lucidrains/performer-pytorch,Performer Pytorch,"An implementation of Performer, a linear attention-based transformer, in Pytorch",Pytorch Utilities,1100,,,,,,,https://github.com/lucidrains/performer-pytorch/raw/main/favor+.png
Lambda Networks,https://github.com/lucidrains/lambda-networks,Lambda Networks,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute",Pytorch Utilities,1500,,,,,,,https://github.com/lucidrains/lambda-networks/raw/main/%CE%BB.png
Torch-Struct,https://harvardnlp.github.io/pytorch-struct,Torch-Struct,"Fast, general, and tested differentiable structured prediction in PyTorch",Pytorch Utilities,1100,,,,,,,https://github.com/harvardnlp/pytorch-struct/workflows/Tests/badge.svg
Tensor Sensor,https://github.com/parrt/tensor-sensor,Tensor Sensor,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.",Pytorch Utilities,800,,,,,,,https://github.com/parrt/tensor-sensor/raw/master/images/dtypes.png
Tez,https://github.com/abhishekkrthakur/tez,Tez,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.,Pytorch Utilities,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
madgrad,https://github.com/facebookresearch/madgrad,madgrad,MADGRAD Optimization Method,Pytorch Utilities,800,,,,,,,https://github.com/facebookresearch/madgrad/raw/main/figures/vision.png?raw=true
Pywick,https://github.com/achaiah/pywick,Pywick,High-level batteries-included neural network training library for Pytorch,Pytorch Utilities,400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
TorchDrift,https://torchdrift.org/,TorchDrift,Drift Detection for your PyTorch Models,Pytorch Utilities,310,,,,,,,https://github.com/TorchDrift/TorchDrift/raw/master/docs/source/_static/logo/torchdrift-rendered.svg
carla,https://carla.org/,carla,Open-source simulator for autonomous driving research.,Others,12000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Autograd,https://github.com/HIPS/autograd,Autograd,Efficiently computes derivatives of NumPy code.,Others,7100,,,,,,,https://github.com/HIPS/autograd/actions/workflows/check.yml/badge.svg
PennyLane,https://pennylane.ai/,PennyLane,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.",Others,2400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Datasette,https://datasette.io/,Datasette,An open source multi-tool for exploring and publishing data,Others,9700,,,,,,,https://datasette.io/static/datasette-logo.svg
DeepChem,https://deepchem.io/,DeepChem,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology",Others,5600,,,,,,,https://deepchem.io/deepchem.github.io//_next/static/media/deepchem-logo.95f3f074.png
hdbscan,https://hdbscan.readthedocs.io/en/latest/,hdbscan,A high performance implementation of HDBSCAN clustering.,Others,2800,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
agate,https://agate.readthedocs.io/,agate,A Python data analysis library that is optimized for humans instead of machines.,Others,1200,,,,,,,https://github.com/wireservice/agate/workflows/CI/badge.svg
Pythran,https://pythran.readthedocs.io/,Pythran,Ahead of Time compiler for numeric kernels,Others,2000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
River,https://riverml.xyz/,River,Online machine learning in Python,Others,5100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
tensorly,https://tensorly.org/,tensorly,TensorLy: Tensor Learning in Python.,Others,1600,,,,,,,https://tensorly.org/stable/_static/logo_tensorly.png
datalad,https://datalad.org/,datalad,"Keep code, data, containers under control with git and git-annex",Others,550,,,,,,,https://www.datalad.org/img/datalad_hero_d.svg
PaddleHub,https://www.paddlepaddle.org.cn/hub,PaddleHub,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)",Others,13000,,,,,,,https://github.com/PaddlePaddle/PaddleHub/raw/develop/docs/imgs/paddlehub_logo.jpg
pyjanitor,https://pyjanitor-devs.github.io/pyjanitor,pyjanitor,Clean APIs for data cleaning. Python implementation of R package Janitor,Others,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pyopencl,https://mathema.tician.de/software/pyopencl,pyopencl,"OpenCL integration for Python, plus shiny features",Others,1100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
dstack,https://dstack.ai/docs,dstack,"dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, & TPU.",Others,1600,,,,,,,https://raw.githubusercontent.com/dstackai/dstack/master/docs/assets/images/dstack-logo.svg
anomalib,https://anomalib.readthedocs.io/en/latest/,anomalib,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.",Others,3900,,,,,,,https://raw.githubusercontent.com/openvinotoolkit/anomalib/main/docs/source/_static/images/logos/anomalib-wide-blue.png
TabPy,https://tableau.github.io/TabPy/,TabPy,Execute Python code on the fly and display results in Tableau visualizations:,Others,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Trax,https://github.com/google/trax,Trax,Trax : Deep Learning with Clear Code and Speed,Others,8100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
avalanche,https://avalanche.continualai.org/,avalanche,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,Others,1800,,,,,,,https://github.com/ContinualAI/avalanche/actions/workflows/unit-test.yml/badge.svg
Prince,https://maxhalford.github.io/prince,Prince,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA",Others,1300,,,,,,,https://github.com/MaxHalford/prince/raw/master/docs/static/images/logo.png
kmodes,https://github.com/nicodv/kmodes,kmodes,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data",Others,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pyclustering,https://pyclustering.github.io/,pyclustering,"pyclustering is a Python, C++ data mining library.",Others,1200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
adapter-transformers,https://docs.adapterhub.ml/,adapter-transformers,A Unified Library for Parameter-Efficient and Modular Transfer Learning,Others,2600,,,,,,,https://raw.githubusercontent.com/Adapter-Hub/adapters/main/docs/img/adapter-bert.png
pycm,https://pycm.io/,pycm,Multi-class confusion matrix library in Python,Others,1500,,,,,,,https://github.com/sepandhaghighi/pycm/raw/master/Otherfiles/logo.png
AugLy,https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/,AugLy,"A data augmentations library for audio, image, text, and video.",Others,5000,,,,,,,https://raw.githubusercontent.com/facebookresearch/AugLy/main/logo.svg
Feature Engine,https://www.trainindata.com/feature-engine,Feature Engine,Feature engineering package with sklearn like functionality,Others,1900,,,,,,,https://raw.githubusercontent.com/feature-engine/feature_engine/main/docs/images/logo/FeatureEngine.png
metric-learn,https://contrib.scikit-learn.org/metric-learn/,metric-learn,Metric learning algorithms in Python,Others,1400,,,,,,,https://github.com/scikit-learn-contrib/metric-learn/workflows/CI/badge.svg
BioPandas,https://biopandas.github.io/biopandas/,BioPandas,Working with molecular structures in pandas DataFrames,Others,720,,,,,,,https://github.com/BioPandas/biopandas/raw/main/docs/img/logos/logo.png#gh-light-mode-only
MONAILabel,https://docs.monai.io/projects/label,MONAILabel,MONAI Label is an intelligent open source image labeling and learning tool.,Others,640,,,,,,,https://docs.monai.io/projects/label/en/latest/_static/MONAI-logo-color.png
AstroML,https://www.astroml.org/,AstroML,"Machine learning, statistics, and data mining for astronomy and astrophysics",Others,1100,,,,,,,https://www.astroml.org/_static/Logo.gif
benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,benchmark_VAE,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022),Others,1900,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
SUOD,https://www.andrew.cmu.edu/user/yuezhao2/papers/20-preprint-suod.pdf,SUOD,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection),Others,380,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pykale,https://pykale.github.io/,pykale,"Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the PyTorch ecosystem.",Others,450,,,,,,,https://github.com/pykale/pykale/raw/main/docs/images/pykale_logo_long.png
pymdp,https://github.com/infer-actively/pymdp,pymdp,A Python implementation of active inference for Markov Decision Processes,Others,490,,,,,,,https://github.com/infer-actively/pymdp/raw/master/.github/pymdp_logo_2-removebg.png
NeuralCompression,https://github.com/facebookresearch/NeuralCompression,NeuralCompression,A collection of tools for neural compression enthusiasts.,Others,520,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
Cython BLIS,https://github.com/explosion/cython-blis,Cython BLIS,Fast matrix-multiplication as a self-contained Python library with no system dependencies!,Others,220,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
cleanlab,https://cleanlab.ai/,cleanlab,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",Others,9900,,,,,,,https://raw.githubusercontent.com/cleanlab/assets/master/cleanlab/cleanlab_logo_open_source.png
alibi-detect,https://docs.seldon.io/projects/alibi-detect/en/stable/,alibi-detect,"Algorithms for outlier, adversarial and drift detection",Others,2300,,,,,,,https://raw.githubusercontent.com/SeldonIO/alibi-detect/master/doc/source/_static/Alibi_Detect_Logo_rgb.png
pysc2,https://github.com/google-deepmind/pysc2,pysc2,StarCraft II Learning Environment,Others,8000,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
modAL,https://modal-python.github.io/,modAL,A modular active learning framework for Python,Others,2200,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
gplearn,https://gplearn.readthedocs.io/,gplearn,"Genetic Programming in Python, with a scikit-learn inspired API",Others,1600,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
minisom,https://github.com/JustGlowing/minisom,minisom,MiniSom is a minimalistic implementation of the Self Organizing Maps,Others,1500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
PySwarms,https://pyswarms.readthedocs.io/en/latest/,PySwarms,A research toolkit for particle swarm optimization in Python,Others,1300,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
metricflow,https://docs.getdbt.com/docs/build/about-metricflow,metricflow,"MetricFlow allows you to define, build, and maintain metrics in code.",Others,1200,,,,,,,https://github.com/dbt-labs/metricflow/raw/main/assets/MetricFlow_logo.png
Mars,https://mars-project.readthedocs.io/,Mars,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.",Others,2700,,,,,,,https://raw.githubusercontent.com/mars-project/mars/master/docs/source/images/mars-logo-title.png
findspark,https://github.com/minrk/findspark,findspark,"PySpark isn't on sys.path by default, but that doesn't mean it can't be used as a regular library. You can address this by either symlinking pyspark into your site-packages, or adding pyspark to sys.path at runtime. findspark does the latter.",Others,510,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pandas-ai,https://pandas-ai.com/,pandas-ai,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.",Others,14000,,,,,,,https://github.com/Sinaptik-AI/pandas-ai/raw/main/assets/logo.png
opyrator,https://opyrator-playground.mltooling.org/,opyrator,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",Others,3100,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
mlens,https://ml-ensemble.com/,mlens,ML-Ensemble high performance ensemble learning,Others,850,,,,,,,https://github.com/flennerhag/mlens/raw/master/docs/source/_static/img/logo.png
vecstack,https://github.com/vecxoz/vecstack,vecstack,Python package for stacking (machine learning technique),Others,690,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
impyute,https://impyute.readthedocs.io/,impyute,Data imputations library to preprocess datasets with missing data,Others,360,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
StreamAlert,https://streamalert.io/,StreamAlert,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.",Others,2900,,,,,,,https://github.com/airbnb/streamalert/workflows/Actions%20CI/badge.svg
rrcf,https://klabum.github.io/rrcf/,rrcf,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams,Others,500,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
apricot,https://apricot-select.readthedocs.io/en/latest/index.html,apricot,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html,Others,500,,,,,,,https://github.com/jmschrei/apricot/raw/master/docs/logos/apricot-logo.png
scikit-rebate,https://epistasislab.github.io/scikit-rebate/,scikit-rebate,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.",Others,420,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
baikal,https://baikal.readthedocs.io/,baikal,A graph-based functional API for building complex scikit-learn pipelines.,Others,590,,,,,,,https://github.com/alegonz/baikal/raw/master/illustrations/baikal1_blue.png
KD-Lib,https://kd-lib.readthedocs.io/,KD-Lib,"A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.",Others,610,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
pandas-ml,https://github.com/pandas-ml/pandas-ml,pandas-ml,"pandas, scikit-learn, xgboost and seaborn integration",Others,320,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
nylon,https://docs.paraglide.ai/,nylon,"An intelligent, flexible grammar of machine learning.",Others,83,,,,,,,https://github.com/Palashio/nylon/raw/main/data_storage/github_images/nylonlogowhite.png
traingenerator,https://traingenerator.streamlit.app/,traingenerator,A web app to generate template code for machine learning,Others,1400,,,,,,,https://miro.medium.com/v2/resize:fit:720/format:webp/1*a6STnftUJKj9PA0tmOKIwQ.jpeg
smolmodels,https://www.plexe.ai/,smolmodels,"smolmodels is a Python library that lets you create machine learning models by describing what you want them to do in plain English. Instead of wrestling with model architectures and hyperparameters, you simply describe your intent, define your inputs and outputs, and let smolmodels handle the rest.",Machine Learning Frameworks; Natural Language Processing,112,,,,,,,https://static.wixstatic.com/media/4b13b6_0db169fd95c24b5692f190e9d8e339a9~mv2.gif
Swiftshadow,https://sachin-sankar.github.io/swiftshadow/,swiftshadow,"Swiftshadow is a lightweight and efficient Python library designed to simplify IP proxy rotation for web scraping, data mining, and other automated tasks. It helps you bypass common challenges like IP bans, rate limits, and detection mechanisms, ensuring smooth and uninterrupted data collection.",Web Scraping; Data Mining,184,,,,,,,https://sachin-sankar.github.io/swiftshadow/assets/logo.png
PerpetualBooster,https://perpetual-ml.com/,perpetualbooster,"PerpetualBooster is a gradient boosting machine (GBM) algorithm which doesn't need hyperparameter optimization unlike other GBM algorithms. Similar to AutoML libraries, it has a budget parameter. Increasing the budget parameter increases the predictive power of the algorithm and gives better results on unseen data. ",Hyperparameter Optimization,383,,,,,,,https://perpetual-ml.com/images/perp_logo.png
Torchhd,https://torchhd.readthedocs.io/en/stable/,torchhd,Torchhd is a Python library for Hyperdimensional Computing (also known as Vector Symbolic Architectures).,Deep Learning; Neural Network Framework; Generative AI; Machine Learning Frameworks; Hyperdimensional Computing,287,,,,,,,https://torchhd.readthedocs.io/en/stable/_static/torchhd-logo.svg
Fastplotlib,https://www.fastplotlib.org/ver/dev/,fastplotlib,"Next-gen fast plotting library running on WGPU using the pygfx rendering engine.

",Data Visualization,492,,,,,,,https://github.com/fastplotlib/fastplotlib/raw/main/docs/source/fastplotlib_logo.svg