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1. LLaMA in 60 Lines LLaMA in 60 Lines

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   import json

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   import pickle

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   import struct

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   import zipfile

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   import numpy as np

2. RLAIF RLAIF

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   import torch

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   from transformers import AutoModelForCausalLM, AutoTokenizer

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   model = AutoModelForCausalLM.from_pretrained('NousResearch/Nous-Hermes-Llama2-13b', device_map = 'auto')

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   tokenizer = AutoTokenizer.from_pretrained('NousResearch/Nous-Hermes-Llama2-13b')

3. Advanced_Keras_Tutorial Advanced_Keras_Tutorial Public

   Jupyter Notebook

4. deep-learning-keras-euroscipy2016 deep-learning-keras-euroscipy2016 Public

   Keras@EuroScipy2016

   Jupyter Notebook

5. HungaBunga HungaBunga Public

   HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

   Python

6. llama llama Public

   User-friendly LLaMA: Train or Run the model using PyTorch. Nothing else.

   Python