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

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

Code for "Training-free Graph Neural Networks and the Power of Labels as Features" (TMLR 2024)

Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”

My personal implementation of the model from "Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities", they haven't released model code yet sooo...