ML algorithms implementations that are good for learning the underlying principles

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation: https://www.youtube.com/watch?v=vAmKB7iPkWw

Stable Diffusion implemented from scratch in PyTorch

Attention is all you need implementation

Notes on Direct Preference Optimization

Distributed training (multi-node) of a Transformer model

Notes and commented code for RLHF (PPO)

A Python library to generate adversarial examples for classification models

Google Chrome extension that helps you learn Chinese, by providing a dictionary and also shows known words.

Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)

Notes on the Mistral AI model

Notes on quantization in neural networks

Slides for "Retrieval Augmented Generation" video

BERT explained from scratch

LLaMA 2 implemented from scratch in PyTorch

Notes about LLaMA 2 model

Slides for "Segment Anything" video

LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch

Tools and experiments with the LongNet model

Implementation of the paper "Denoising Diffusion Probabilistic Models" in PyTorch

Notes about the video on the Variational Autoencoder