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Repositories in this selection 7 · UTC 2026-11-04
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1—Sshap / shapA game theoretic approach to explain the output of any machine learning model.Jupyter NotebookMIT · PermissiveInsufficient rank history25,8453,784——2026-11-01
2—EEthicalML / awesome-production-machine-learningA curated list of awesome open source libraries to deploy, monitor, version and scale your machine learningUnknownMIT · PermissiveInsufficient rank history21,0672,616——2026-11-01
3—Jjacobgil / pytorch-grad-camAdvanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.PythonMIT · PermissiveInsufficient rank history13,0051,714——2026-11-01
4—Iinterpretml / interpretFit interpretable models. Explain blackbox machine learning.C++MIT · PermissiveInsufficient rank history6,976797——2026-11-02
5—Mmeta-pytorch / captumModel interpretability and understanding for PyTorchPythonBSD-3-Clause · PermissiveInsufficient rank history5,719573——2026-11-01
6—Jjphall663 / awesome-machine-learning-interpretabilityA curated list of awesome responsible machine learning resources.UnknownCC0-1.0 · PermissiveInsufficient rank history4,083630——2026-06-03
7—Ccsinva / imodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).Jupyter NotebookMIT · PermissiveInsufficient rank history1,631149——2026-10-30
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