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MDFahimAnjum/README.md

Hi there 👋

I'm Fahim Anjum, a postdoctoral researcher at UCSF passionate about signal processing, neuroscience, and machine learning(ML). I am particularly interested in applying signal processing aspects in ML such as Diffusion and large language models (LLMs).

  • 🔭 I’m currently working on developing innovative deep-learning models for classifying and interpreting brain signals, with a focus on neurological disorders like Parkinson's disease.
  • 🌱 I’m currently learning more about scalable architectures in LLMs and their application in healthcare.
  • 👯 I’m looking to collaborate on projects that intersect ML, neuroscience, and signal processing.
  • 🤔 I’m actively seeking job opportunities where I can apply my expertise in ML and brain signal processing.
  • 💬 Ask me about ML, deep learning architectures, or how to get started with EEG signal processing.
  • 📫 How to reach me: dr.fahim.anjum@gmail.com
  • 😄 Pronouns: Fahim
  • ⚡ Fun fact: I’m fascinated by the parallels between neural networks and the human brain – it’s what drives my research every day!

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  1. shellclaw shellclaw Public

    ShellClaw is an extremely lightweight and optimized LLM-powered terminal assistant TUI for everyday users. It diagnoses system problems by running safe read-only commands, explains what it finds in…

    Python

  2. llm-planning-with-reasoning llm-planning-with-reasoning Public

    Benchmarks a 1.5B reasoning model (DeepSeek-R1) vs. SOTA non-reasoning LLMs for text-to-SQL using a generator-discriminator planning framework. Proposes a novel method to extract soft scores from c…

    Jupyter Notebook

  3. AliasFree-Diffusion-Models-PyTorch AliasFree-Diffusion-Models-PyTorch Public

    Forked from CakeNuthep/Diffusion-Models-pytorch

    This project investigates the integration of alias-free resampling techniques, inspired by StyleGAN3, into the UNet architecture of Diffusion models. Our approach focuses on improving model perform…

    Jupyter Notebook 7 1

  4. LiPCoT LiPCoT Public

    Linear Predictive Coding based Tokenizer for self-supervised learning of time series via BERT. Article: https://arxiv.org/abs/2408.07292

    Jupyter Notebook 6

  5. LightCNNforPD LightCNNforPD Public

    We propose LightCNN, a lightweight CNN architecture designed for efficient and effective Parkinson's disease classification using EEG data. Article: https://doi.org/10.48550/arXiv.2408.10457

    Jupyter Notebook 19 3

  6. TurboLPC TurboLPC Public

    TurboLPC is a fast, simple yet powerful Python library that provides the functionality of Linear Predictive Coding for signals.

    Jupyter Notebook 7