1.EthicalML / awesome-production-machine-learningA curated list of awesome open source libraries to deploy, monitor, version and scale your machine learningmachine-learningmlopsinterpretabilityexplainabilityresponsible-aideep-learning+13 moreMIT21K total2.6K forks+695 starsfrom 20,368 · score 6.55
2.shap / shapA game theoretic approach to explain the output of any machine learning model.interpretabilitymachine-learningdeep-learninggradient-boostingshapshapley+1 moreJupyter NotebookMIT26K total3.8K forks+576 starsfrom 25,266 · score 6.36
3.interpretml / interpretFit interpretable models. Explain blackbox machine learning. machine-learninginterpretabilitygradient-boostingblackboxscikit-learnxai+13 moreC++MIT7K total798 forks+159 starsfrom 6,816 · score 5.08