SBR

??? 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, ... ?

Graph Neural Network Library for PyTorch

Natural Language Processing Tutorial for Deep Learning Researchers

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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

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

Anomaly detection related books, papers, videos, and toolboxes

links to conference publications in graph-based deep learning

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记