interpret and xai
Maintenance
25/25
Adoption
10/25
Maturity
16/25
Community
21/25
Maintenance
6/25
Adoption
17/25
Maturity
18/25
Community
23/25
Stars: 6,813
Forks: 778
Downloads: —
Commits (30d): 74
Language: C++
License: MIT
Stars: 1,229
Forks: 186
Downloads: 1,291
Commits (30d): 0
Language: Python
License: MIT
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About interpret
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
Combines glassbox models (EBM, decision trees, linear models) with post-hoc explainers (SHAP, LIME, partial dependence) in a unified API. Features Explainable Boosting Machines that match state-of-the-art blackbox performance while remaining fully interpretable with automatic interaction detection and differential privacy support. Integrates with scikit-learn ecosystems and provides Plotly/Dash-based dashboards for both global and local explanations across multiple models.
About xai
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
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