Alternatives and similar repositories for pytorch_geometric:

Users that are interested in pytorch_geometric are comparing it to the libraries listed below

• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆13,585Updated last month
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,101Updated 11 months ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,213Updated 4 years ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,164Updated last year
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,842Updated 2 weeks ago
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,450Updated this week
• paperswithcode / ai-deadlines
  AI conference deadline countdowns
  ☆5,697Updated 2 months ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,569Updated 3 weeks ago
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,885Updated 3 weeks ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,370Updated last year
• Lightning-AI / pytorch-lightning
  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
  ☆28,592Updated this week
• jadore801120 / attention-is-all-you-need-pytorch
  A PyTorch implementation of the Transformer model in "Attention is All You Need".
  ☆8,924Updated 7 months ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,220Updated 11 months ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,534Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,256Updated 2 years ago
• benedekrozemberczki / pytorch_geometric_temporal
  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
  ☆2,691Updated last month
• jason718 / awesome-self-supervised-learning
  A curated list of awesome self-supervised methods
  ☆6,183Updated 5 months ago
• KevinMusgrave / pytorch-metric-learning
  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
  ☆6,039Updated last month
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,903Updated last month
• huggingface / pytorch-image-models
  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…
  ☆32,549Updated this week
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆4,966Updated 2 weeks ago
• pytorch / tutorials
  PyTorch tutorials.
  ☆8,290Updated this week
• albumentations-team / albumentations
  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
  ☆14,368Updated this week
• sksq96 / pytorch-summary
  Model summary in PyTorch similar to `model.summary()` in Keras
  ☆4,017Updated 9 months ago
• pytorch / vision
  Datasets, Transforms and Models specific to Computer Vision
  ☆16,356Updated this week
• eriklindernoren / PyTorch-GAN
  PyTorch implementations of Generative Adversarial Networks.
  ☆16,556Updated 5 months ago
• AntixK / PyTorch-VAE
  A Collection of Variational Autoencoders (VAE) in PyTorch.
  ☆6,758Updated 5 months ago
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,553Updated this week
• kornia / kornia
  Geometric Computer Vision Library for Spatial AI
  ☆10,043Updated this week
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,764Updated last year