Graph_transformer_networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch | 74,794 |  | 3,341 | 8,272 | 3 months ago | 39 | November 15, 2023 | 13,261 | other | Python |
| Tensors and Dynamic neural networks in Python with strong GPU acceleration | ||||||||||
| Pytorch Tutorial | 27,137 | 8 months ago | 85 | mit | Python | |||||
| PyTorch Tutorial for Deep Learning Researchers | ||||||||||
| The Incredible Pytorch | 10,557 | 3 months ago | 1 | mit | ||||||
| The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. | ||||||||||
| Pytorch Tutorial | 7,372 | a year ago | 28 | mit | Jupyter Notebook | |||||
| Build your neural network easy and fast, 莫烦Python中文教学 | ||||||||||
| Machine Learning Collection | 6,173 | 4 months ago | 95 | mit | Python | |||||
| A resource for learning about Machine learning & Deep Learning | ||||||||||
| Deep Learning V2 Pytorch | 4,973 | 10 months ago | 15 | mit | Jupyter Notebook | |||||
| Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 | ||||||||||
| Topdeeplearning | 4,901 | 4 years ago | 17 | mit | Python | |||||
| A list of popular github projects related to deep learning | ||||||||||
| Pytorch Examples | 4,170 | 2 years ago | 8 | mit | Python | |||||
| Simple examples to introduce PyTorch | ||||||||||
| D2l Pytorch | 3,933 | 2 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
| This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch. | ||||||||||
| Pytorch Cifar100 | 3,687 | 5 months ago | 53 | Python | ||||||
| Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet) | ||||||||||
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