npm · PyPI
meta-pytorch/captum
Model interpretability and understanding for PyTorch
BSD-3-ClauseAug 28, 2026 · metrics 2.10.0
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#interpretability
Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.
9 records
PyPI · npm
shap/shap
A game theoretic approach to explain the output of any machine learning model.
MITAug 5, 2026 · metrics 2.10.0
PyPI
mmschlk/shapiq
Shapley Interactions and Shapley Values for Machine Learning
MITJul 26, 2026 · metrics 2.10.0
npm · PyPI
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
MITAug 12, 2026 · metrics 2.10.0
PyPI
givasile/effector
Effector - a Python package for global and regional effect methods
MITJul 17, 2026 · metrics 2.10.0
PyPI
fathom-lab/styxx
Verification for the agent era. Your coding agent's PR summary cannot lie about its diff - one CI line. Plus the research: the first map of which AI minds can read each other. Every claim machine-verified against committed receipts, negatives included. pip install styxx
MITAug 19, 2026 · metrics 2.10.0
PyPI
Sid-MB/interlens
Python framework for efficient and precise interpretability research on multi-agent conversations.
AGPL-3.0Jul 15, 2026 · metrics 2.10.0
PyPI
rmovva/HypotheSAEs
HypotheSAEs: hypothesizing interpretable relationships in text datasets using sparse autoencoders. https://arxiv.org/abs/2502.04382
Apache-2.0Jul 27, 2026 · metrics 2.10.0
PyPI
srikumar2050/hugiml-core
High-performance interpretable ML classifier using High Utility Gain patterns (IEEE Access 2024). C++ accelerated, scikit-learn compatible, with EBM-style explanations, adaptive binning, pattern pruning, and deployment tooling for regulated domains.
Custom licenseJul 19, 2026 · metrics 2.10.0