jaxKAN
jaxKAN: A unified JAX framework for Kolmogorov-Arnold Networks - Published in JOSS (2025)
Science Score: 93.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
○Committers with academic emails
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
Kolmogorov-Arnold Networks built on JAX
Basic Info
- Host: GitHub
- Owner: srigas
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://jaxkan.readthedocs.io
- Size: 16.5 MB
Statistics
- Stars: 85
- Watchers: 5
- Forks: 11
- Open Issues: 0
- Releases: 27
Topics
Metadata Files
README.md
jaxKAN
jaxKAN is a Python package designed to enable the training of Kolmogorov-Arnold Networks (KANs) using the JAX framework. Built on Flax's NNX module, jaxKAN provides a collection of KAN layers that serve as foundational building blocks for various KAN architectures, such as the EfficientKAN and the ChebyKAN. While it includes standard features like initialization and forward pass methods, the KAN class in jaxKAN introduces an extend_grids method, which facilitates the extension of the grids for all layers in the network, irrespective of how those grids are defined. For instance, in the case of ChebyKAN, where a traditional grid concept doesn't exist, the method extends the order of the Chebyshev polynomials utilized in the model.
Documentation
Extensive documentation on jaxKAN, including installation & contributing guidelines, API reference and tutorials, can be found here.
Contributing
We warmly welcome community contributions to jaxKAN! For details on the types of contributions that will help jaxKAN evolve, as well as guidelines on how to contribute, visit this page of our documentation.
Citation
If you utilized jaxKAN for your own academic work, please use the following citation:
@article{Rigas2025,
author = {Rigas, Spyros and Papachristou, Michalis},
title = {jax{KAN}: A unified {JAX} framework for {K}olmogorov-{A}rnold Networks},
journal = {Journal of Open Source Software},
year = {2025},
volume = {10},
number = {108},
pages = {7830},
doi = {10.21105/joss.07830}
}
If you have used jaxKAN in your research for PIKAN-related applications or theoretical developments, please consider also citing the paper that originally introduced jaxKAN for these tasks:
@article{10763509,
author = {Rigas, Spyros and Papachristou, Michalis and Papadopoulos, Theofilos and Anagnostopoulos, Fotios and Alexandridis, Georgios},
title = {Adaptive Training of Grid-Dependent Physics-Informed {K}olmogorov-{A}rnold Networks},
journal = {IEEE Access},
year = {2024},
volume = {12},
pages = {176982-176998},
doi = {10.1109/ACCESS.2024.3504962}
}
Owner
- Name: Spyros Rigas
- Login: srigas
- Kind: user
- Location: Athens, Greece
- Company: SeaQuest Marine Technologies
- Website: https://srigas.net
- Repositories: 2
- Profile: https://github.com/srigas
Data Engineering & MLOps @ SeaQuest Marine Technologies
JOSS Publication
jaxKAN: A unified JAX framework for Kolmogorov-Arnold Networks
Authors
Department of Digital Industry Technologies, School of Science, National and Kapodistrian University of Athens
Department of Physics, School of Science, National and Kapodistrian University of Athens
Editor
Fabian Scheipl
Tags
JAX Kolmogorov-Arnold Networks Physics-Informed Neural Networks PIKANsGitHub Events
Total
- Create event: 24
- Issues event: 23
- Release event: 17
- Watch event: 39
- Delete event: 3
- Issue comment event: 19
- Push event: 60
- Pull request event: 10
- Fork event: 5
Last Year
- Create event: 24
- Issues event: 23
- Release event: 17
- Watch event: 39
- Delete event: 3
- Issue comment event: 19
- Push event: 60
- Pull request event: 10
- Fork event: 5
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| srigas | r****p@g****m | 123 |
| mixpap | m****s@g****m | 10 |
| Dhanush Kovi | 9****c | 1 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 13
- Total pull requests: 10
- Average time to close issues: about 20 hours
- Average time to close pull requests: 14 minutes
- Total issue authors: 6
- Total pull request authors: 2
- Average comments per issue: 1.54
- Average comments per pull request: 0.1
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 13
- Pull requests: 10
- Average time to close issues: about 20 hours
- Average time to close pull requests: 14 minutes
- Issue authors: 6
- Pull request authors: 2
- Average comments per issue: 1.54
- Average comments per pull request: 0.1
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ColCarroll (6)
- kazewong (3)
- huobingsanjin (1)
- vsingh10 (1)
- sunbingxin-jpg (1)
- buptlittlecabbage (1)
Pull Request Authors
- srigas (9)
- dkvc (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 130 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 20
- Total maintainers: 1
pypi.org: jaxkan
A JAX implementation of Kolmogorov-Arnold Networks
- Documentation: https://jaxkan.readthedocs.io/
- License: MIT License Copyright (c) 2024 Spyros Rigas, Michalis Papachristou Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 0.2.13
published 11 months ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v4 composite
- actions/setup-python v4 composite
- pypa/gh-action-pypi-publish release/v1 composite
- flax ==0.8.3
- jax *
- numpy ==1.26.4