https://github.com/xternalz/WideResNet-pytorch

Wide Residual Networks (WideResNets) in PyTorch
https://github.com/xternalz/WideResNet-pytorch

deep-learning residual-networks resnet wide-resnet wideresnet

Last synced: 4 days ago
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Wide Residual Networks (WideResNets) in PyTorch

• Host: GitHub
• URL: https://github.com/xternalz/WideResNet-pytorch
• Owner: xternalz
• License: mit
• Created: 2017-03-02T04:54:03.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-04-29T02:12:09.000Z (over 3 years ago)
• Last Synced: 2024-05-10T09:33:02.103Z (6 months ago)
• Topics: deep-learning, residual-networks, resnet, wide-resnet, wideresnet
• Language: Python
• Homepage:
• Size: 12.7 KB
• Stars: 325
• Watchers: 5
• Forks: 77
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-image-classification - unofficial-pytorch : https://github.com/xternalz/WideResNet-pytorch
• awesome-image-classification - unofficial-pytorch : https://github.com/xternalz/WideResNet-pytorch

README

        
# Wide Residual Networks (WideResNets) in PyTorch

WideResNets for CIFAR10/100 implemented in PyTorch. This implementation requires less GPU memory than what is required by the official Torch implementation: https://github.com/szagoruyko/wide-residual-networks.

Example:

```

python train.py --dataset cifar100 --layers 40 --widen-factor 4

```

# Acknowledgement

- [densenet-pytorch](https://github.com/andreasveit/densenet-pytorch)

- Wide Residual Networks (BMVC 2016) http://arxiv.org/abs/1605.07146 by Sergey Zagoruyko and Nikos Komodakis.