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  1. Clean inference code for LLaMA-3 with lots of comments explaining every step

    Python 3

  2. Implementing a Decoder-Transformer network (10M parameters) from scratch

    Python

  3. PyTorch implementation of Stable Diffusion from scratch

    Python

  4. Implementing the DDPM paper from scratch to learn about diffusion models

    Jupyter Notebook

  5. Implementing various quantization techniques for neural networks using PyTorch

    Jupyter Notebook

  6. Clean implementation of Byte-Level Byte Pair Encoding algorithm commonly used for tokenization for LLMs

    Python