Clifford Layers
For details about usage please see documentation. If you have any questions or suggestions please open a discussion. If you notice a bug, please open an issue.
Installation
pip install cliffordlayers
Citation
If you find our work and/or our code useful, please cite us via:
@article{brandstetter2022clifford,
title={Clifford Neural Layers for PDE Modeling},
author={Brandstetter, Johannes and Berg, Rianne van den and Welling, Max and Gupta, Jayesh K},
journal={arXiv preprint arXiv:2209.04934},
year={2022}
}
@article{ruhe2023geometric,
title={Geometric Clifford Algebra Networks},
author={Ruhe, David and Gupta, Jayesh K and de Keninck, Steven and Welling, Max and Brandstetter, Johannes},
journal={arXiv preprint arXiv:2302.06594},
year={2023}
}
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
Release files for cliffordlayers 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cliffordlayers-0.1.1.tar.gz | 27.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cliffordlayers-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.6 kB
Release files / cliffordlayers-0.1.1.tar.gz
| Download URL | cliffordlayers-0.1.1.tar.gz |
|---|---|
| Size | 27.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.8.15
|
Release files / cliffordlayers-0.1.1-py3-none-any.whl
| Download URL | cliffordlayers-0.1.1-py3-none-any.whl |
|---|---|
| Size | 31.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.15
|