pyg-team / pytorch_geometric
Graph Neural Network Library for PyTorch
☆22,328Updated this week
Alternatives and similar repositories for pytorch_geometric
Users that are interested in pytorch_geometric are comparing it to the libraries listed below
Sorting:
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆13,874Updated 3 months ago
- Graph Convolutional Networks in PyTorch☆5,304Updated 4 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,257Updated 2 years ago
- Must-read papers on graph neural networks (GNN)☆16,398Updated last year
- links to conference publications in graph-based deep learning☆4,916Updated this week
- Build Graph Nets in Tensorflow☆5,384Updated 2 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,935Updated 2 weeks ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,586Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,352Updated 3 years ago
- Model interpretability and understanding for PyTorch☆5,209Updated last week
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆34,105Updated this week
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,043Updated this week
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,650Updated last week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,903Updated 3 weeks ago
- PyTorch Tutorial for Deep Learning Researchers☆31,258Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,518Updated 9 months ago
- End-to-End Object Detection with Transformers☆14,331Updated last year
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,186Updated 10 months ago
- ☆11,336Updated 2 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,021Updated 3 weeks ago
- A Collection of Variational Autoencoders (VAE) in PyTorch.☆7,135Updated last month
- Paper Lists for Graph Neural Networks☆2,257Updated last year
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆29,439Updated last week
- This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".☆14,755Updated 9 months ago
- A hyperparameter optimization framework☆11,910Updated last week
- A PyTorch implementation of the Transformer model in "Attention is All You Need".☆9,177Updated last year
- Datasets, Transforms and Models specific to Computer Vision☆16,824Updated this week
- Generate embeddings from large-scale graph-structured data.☆3,412Updated last year
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,040Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,001Updated last week