https://github.com/Orkis-Research/Pytorch-Quaternion-Neural-Networks

This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch
https://github.com/Orkis-Research/Pytorch-Quaternion-Neural-Networks

Last synced: about 2 months ago
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This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch

• Host: GitHub
• URL: https://github.com/Orkis-Research/Pytorch-Quaternion-Neural-Networks
• Owner: Orkis-Research
• License: gpl-3.0
• Created: 2018-09-28T09:03:15.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-12-05T15:35:30.000Z (almost 5 years ago)
• Last Synced: 2024-06-20T22:47:26.270Z (3 months ago)
• Language: Python
• Homepage:
• Size: 2.59 MB
• Stars: 199
• Watchers: 7
• Forks: 53
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# PyTorch-Quaternion-Neural-Networks

This repository offers up-to-date PyTorch implementations of various quaternion neural networks (QNN), such as QRNNs, QLSTMs, QCNNs, or QCAEs. Core components are situated within the core_qnn package, and can be reused to create custom QNNs, based on easy to customize PyTorch modules like QuaternionLinear, QuaternionConv, or QuaternionTransposeConv.

Requirements

------------

1. A GPU with a running CUDA installation is preferable. Please be certain that CUDA is correctly configured if you plan to use GPUs.

2. Install PyTorch and torchvision depending on your environment: [PyTorch](https://pytorch.org/get-started/locally/)

3. Install others needed packages:

```bash

pip install imageio numpy scipy    

```

4. Finally, install our core_qnn package:

```bash

pip install .   

```

Usage

------------

Please navigate through the *exp* directory. Different running examples are proposed based on published papers. If you use this code or part of it, please cite the following paper:

*Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori, Yoshua Bengio - "Quaternion Recurrent Neural Networks", [OpenReview](https://openreview.net/forum?id=ByMHvs0cFQ)*

```

@inproceedings{

parcollet2018quaternion,

title={Quaternion Recurrent Neural Networks},

author={Titouan Parcollet and Mirco Ravanelli and Mohamed Morchid and Georges Linarès and Chiheb Trabelsi and Renato De Mori and Yoshua Bengio},

booktitle={International Conference on Learning Representations},

year={2019},

url={https://openreview.net/forum?id=ByMHvs0cFQ},

}

```