rouyang2017 / SISSO
A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.
Why this job: works in the areas we cover, but does not say which job it does
What it does
If you are using this code, please cite: R. Ouyang, S. Curtarolo, E. Ahmetcik, M. Scheffler, and L. M. Ghiringhelli, Phys. Rev. Mater. 2, 083802 (2018).
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 380
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Fortran
- 91% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 80% closed
- 15 still open
- Pull requests
- 0 merged
- 3 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Fortran 91%
- Python 9%
Topics
- big-data-analytics
- compressed-sensing
- machine-learning
- material-science
- symbolic-regression
Project record
- JobOther AI tools
- StatusListed
- Commits205
- Forks94
- Watching7
- Stars in 28 days+4
- CreatedOct 16, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026