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.
15 records
PyPI · npm
shap/shap
A game theoretic approach to explain the output of any machine learning model.
MITSep 16, 2026 · metrics 2.10.0
PyPI
deel-ai/xplique
👋 Xplique is a Neural Networks Explainability Toolbox
Custom licenseSep 19, 2026 · metrics 2.10.0
PyPI
mmschlk/shapiq
Shapley Interactions and Shapley Values for Machine Learning
MITSep 14, 2026 · metrics 2.10.0
PyPI
ndif-team/nnsight
The nnsight package enables interpreting and manipulating the internals of deep learned models.
MITOct 20, 2026 · metrics 2.10.0
PyPI · npm
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
MITSep 17, 2026 · metrics 2.10.0
PyPI
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
MITOct 19, 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
MITOct 19, 2026 · metrics 2.10.0
PyPI
givasile/effector
Effector - a Python package for global and regional effect methods
MITSep 10, 2026 · metrics 2.10.0
PyPI
Sid-MB/interlens
Python framework for efficient and precise interpretability research on multi-agent conversations.
AGPL-3.0Sep 8, 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 licenseSep 11, 2026 · metrics 2.10.0
PyPI
mechbench/mechbench-compute
No repository description published.
No licenseSep 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-2.0Sep 14, 2026 · metrics 2.10.0
PyPI
mechbench/mechbench-runner
No repository description published.
No licenseSep 30, 2026 · metrics 2.10.0
PyPI · npm
mechbench/mechbench-schema
No repository description published.
No licenseSep 29, 2026 · metrics 2.10.0