zhaofuyuan

PathNet

The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".

GraphMAE

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

MaskGAE

[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

Graph-Embeddding

Reimplementation of Graph Embedding methods by Pytorch.

attention-is-all-you-need-pytorch

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

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

vit-pytorch

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

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

DSLR

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

AgentNet

Pytorch implementation of AgentNet, which is designed for reveal hidden interactions and predict future dynamics of the unknown complex system.

GINA

Neural Graph Inference From Independent Snapshots of Interacting Systems

network_inference

network-inference-with-hidden-variables

NIS_for_Causal_Emergence

AIDD

Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems

RAIN

modular-metalearning

GGN

Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction

dgl

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

java-SVM

PortHamiltonianNN

Port-Hamiltonian Approach to Neural Network Training

IMMA

Official code for "Interaction Modeling with Multiplex Attention" (NeurIPS 2022)

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.