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High-Performance Symbolic Regression in Python and Julia

Registry - Source - Documentation - JSON - codemeta.json
purl: pkg:golang/github.com/miles%21cranmer/%21py%21s%21r
Keywords: algorithm , automl , data-science , distributed-systems , equation-discovery , evolutionary-algorithms , explainable-ai , genetic-algorithm , interpretable-ml , julia , machine-learning , python , scikit-learn , symbolic , symbolic-regression
License: Apache-2.0
Latest release: 4 months ago
First release: about 5 years ago
Stars: 3,106 on GitHub
Forks: 284 on GitHub
Total Commits: 2197
Committers: 29
Average commits per author: 75.759
Development Distribution Score (DDS): 0.104
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 26 days ago

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