https://github.com/rouyang2017/SISSO
A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.
https://github.com/rouyang2017/SISSO
big-data-analytics compressed-sensing machine-learning material-science symbolic-regression
Last synced: 3 days ago
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A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.
- Host: GitHub
- URL: https://github.com/rouyang2017/SISSO
- Owner: rouyang2017
- License: apache-2.0
- Created: 2017-10-16T11:31:57.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2025-03-21T06:19:29.000Z (about 2 months ago)
- Last Synced: 2025-03-21T07:24:42.741Z (about 2 months ago)
- Topics: big-data-analytics, compressed-sensing, machine-learning, material-science, symbolic-regression
- Language: Fortran
- Homepage:
- Size: 3.88 MB
- Stars: 273
- Watchers: 7
- Forks: 86
- Open Issues: 15
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Metadata Files:
- Readme: README.md
- Changelog: Changelog
- License: LICENSE
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