lstm-attention

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

deep learning for image processing including classification and object-detection etc.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Natural Language Processing Tutorial for Deep Learning Researchers

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

? Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.???

An open-source, low-code machine learning library in Python

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas