rusty1s

transformers

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

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

prettier

Prettier is an opinionated code formatter.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

pygcn

Graph Convolutional Networks in PyTorch

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

GraphScope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

extension-cpp

C++ extensions in PyTorch

nvim-completion-manager

:warning: PLEASE USE https://github.com/ncm2/ncm2 INSTEAD

tgn

TGN: Temporal Graph Networks

tracking_wo_bnw

Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

ThinkMatch

A research protocol for deep graph matching.

moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

deepsnap

Python library assists deep learning on graphs

Entity_Alignment_Papers

Must-read papers on entity alignment published in recent years

graph_nn

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

CorrectAndSmooth

[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

Crosslingula-KG-Matching

This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"

perm-optim

[ICLR 2019] Learning Representations of Sets through Optimized Permutations

heptrkx-gnn-tracking

deepracin

Deep Resource-Aware OpenCL Inference Networks