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GitHub / MilesCranmer / PySR

High-Performance Symbolic Regression in Python and Julia

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MilesCranmer%2FPySR

Stars: 1,852
Forks: 182
Open Issues: 66

License: apache-2.0
Language: Python
Repo Size: 4.56 MB
Dependencies: 118

Created: over 3 years ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago

Commit Stats

Commits: 1895
Authors: 21
Mean commits per author: 90.24
Development Distribution Score: 0.096
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/MilesCranmer/PySR

Topics: algorithm, automl, data-science, distributed-systems, equation-discovery, evolutionary-algorithms, explainable-ai, genetic-algorithm, interpretable-ml, julia, machine-learning, numpy, python, scikit-learn, symbolic, symbolic-regression

Files
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    Readme
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    Dependencies
    setup.py pypi
    .github/workflows/CI_Windows.yml actions
    .github/workflows/CI_conda_forge.yml actions
    .github/workflows/CI_docker.yml actions
    .github/workflows/CI_docker_large_nightly.yml actions
    .github/workflows/CI_large_nightly.yml actions
    .github/workflows/CI_mac.yml actions
    .github/workflows/codeql-analysis.yml actions
    .github/workflows/docker_deploy.yml actions
    .github/workflows/docs.yml actions
    .github/workflows/pypi_deploy.yml actions
    .github/workflows/update_backend.yml actions
    Dockerfile docker
    • julia ${JLVERSION}-${BASE_IMAGE} build
    • python ${PYVERSION}-${BASE_IMAGE} build
    docs/all_contributors/package.json npm
    .github/workflows/CI.yml actions
    docs/requirements.txt pypi
    environment.yml pypi
    pyproject.toml pypi
    requirements.txt pypi
    docs/all_contributors/yarn.lock npm