https://github.com/g1910/HyperNetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
https://github.com/g1910/HyperNetworks

hypernetworks metalearning pytorch resnet

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PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

• Host: GitHub
• URL: https://github.com/g1910/HyperNetworks
• Owner: g1910
• License: gpl-3.0
• Created: 2018-09-16T06:51:51.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2021-03-20T04:22:57.000Z (over 3 years ago)
• Last Synced: 2024-08-02T13:27:29.276Z (3 months ago)
• Topics: hypernetworks, metalearning, pytorch, resnet
• Language: Python
• Homepage:
• Size: 550 KB
• Stars: 254
• Watchers: 5
• Forks: 39
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# HyperNetworks

PyTorch implementation of [HyperNetworks](https://arxiv.org/abs/1609.09106) (Ha et al., ICLR 2017) for ResNet. The code is primarily for CIFAR-10 but it's super easy to use it for any other dataset. It's also very easy to use it for ResNet architectures of different depths.

(Please cite this repository if you use any of the code/diagrams here, Thanks! 😊😊)

To cite, please use the following BibTeX entry:

```

@article{gaurav2018hypernetsgithub,

  title={HyperNetworks(Github)},

  author={{Mittal}, G.},

  howpublished = {\url{https://github.com/g1910/HyperNetworks}},

  year={2018}

}

```

## How to Run

```commandline

python train.py

```

## Working

![model_diagram](https://raw.githubusercontent.com/g1910/HyperNetworks/master/diagrams/model_diagram.png)

![model_diagram_simplified](https://raw.githubusercontent.com/g1910/HyperNetworks/master/diagrams/model_simplified.png)

![forward_backward_pass](https://raw.githubusercontent.com/g1910/HyperNetworks/master/diagrams/forward_backward_pass.png)