csinva/imodels

imodels

✅ Recently maintained

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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149Forks
+17-day stars

Jupyter Notebook · MIT · Last push 2026-10-30

Official repository & installation ↗
interpretabilitymachine-learningdata-scienceartificial-intelligencemlaistatisticsscikit-learnpythonoptimal-classification-tree

GitValue · Value evidence

Unscored · Evidence coverage 0%

Provisional rubric; documentation and runtime testing are separate. Missing evidence does not imply low value.

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Get the project

git clone https://github.com/csinva/imodels.git

Cloning downloads the source. For dependencies and installation, follow the project README.

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