lsj2408

Transformer-M

[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)

GraphNorm

[ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)

Graphormer-GD

[ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)

Gaunt-Tensor-Product

[ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products"

URPE

[NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)

XLP

The official implementation of XLP

Simple_compiler

60_Days_RL_Challenge

Learn Deep Reinforcement Learning in Depth in 60 days

awesome-rl

Reinforcement learning resources curated

Fairseq-fork

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Graphormer

[NeurIPS 2021] official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

GraphRicciCurvature

A NetworkX addon to compute the graph Ricci curvature and Ricci flow.

imgaug

Image augmentation for machine learning experiments.

lsj2408.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

mmdetection

Open MMLab Detection Toolbox and Benchmark

neural-tangents

Fast and Easy Infinite Neural Networks in Python

PLMpapers

Must-read Papers on pre-trained language models.

Practical_RL

A course in reinforcement learning in the wild

PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data.

pytorch-docker

pytorch_geometric

Graph Neural Network Library for PyTorch

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.