Model Lab

A PyTorch implementation of the original encoder-decoder Transformer architecture for neural machine translation, including multi-head attention, sinusoidal positional encoding, greedy decoding, OPUS Books training, and CER/WER/BLEU evaluation.

A PyTorch implementation of the LLaMA (Large Language Model Meta AI) architecture based on the paper "LLaMA: Open and Efficient Foundation Language Models" by Touvron et al.

A paper-to-code collection of foundational ML implementations in PyTorch, covering autoencoders, LeNet, AlexNet, LSTM, and a LLaMA-style language model with training and inference utilities.