rusty1s

rusty1s's Stars

• huggingface/transformers

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

  Language:Python137k1.1k16.4k27.5k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python85.7k1.8k48k23.1k

• prettier/prettier

  Prettier is an opinionated code formatter.

  Language:JavaScript49.8k4186.7k4.4k

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.2k1571942k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k55701.2k

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.9k25214781

• NVIDIAGameWorks/kaolin

  A PyTorch Library for Accelerating 3D Deep Learning Research

  Language:Python4.6k111442564

• leoxiaobin/deep-high-resolution-net.pytorch

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

  Language:Cuda4.4k76293919

• Wookai/paper-tips-and-tricks

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

  Language:Python3.6k687256

• alibaba/GraphScope

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

  Language:C++3.3k501.6k448

• snap-stanford/ogb

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

  Language:Python2k42300403

• mdeff/cnn_graph

  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

  Language:Jupyter Notebook1.3k4454390

• getkeops/keops

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

  Language:Python1.1k1432066

• pytorch/extension-cpp

  C++ extensions in PyTorch

  Language:Python1k3578220

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python1k2633190

• roxma/nvim-completion-manager

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

  Language:Python9153318749

• molecularsets/moses

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

  Language:Python8523756244

• Thinklab-SJTU/ThinkMatch

  A research protocol for deep graph matching.

  Language:Python8492070120

• phil-bergmann/tracking_wo_bnw

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

  Language:Python82023144194

• snap-stanford/deepsnap

  Python library assists deep learning on graphs

  Language:Python555604857

• THU-KEG/Entity_Alignment_Papers

  Must-read papers on entity alignment published in recent years

  547281586

• bknyaz/graph_nn

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

  Language:Jupyter Notebook3289571

• CUAI/CorrectAndSmooth

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

  Language:Python287101452

• sk1712/gcn_metric_learning

  Metric Learning with Graph Convolutional Neural Networks

  Language:Python20491171

• syxu828/Crosslingula-KG-Matching

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

  Language:Python10831922

• Cyanogenoid/perm-optim

  [ICLR 2019] Learning Representations of Sets through Optimized Permutations

  Language:Python36402

• HEPTrkX/heptrkx-gnn-tracking

  Language:Jupyter Notebook295027

• janericlenssen/deepracin

  Deep Resource-Aware OpenCL Inference Networks

  Language:C105181