npm · PyPI
meta-pytorch/captum
Model interpretability and understanding for PyTorch
BSD-3-Clause28 ago 2026 · métricas 2.10.0
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#interpretability
Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.
9 registros
PyPI · npm
shap/shap
A game theoretic approach to explain the output of any machine learning model.
MIT5 ago 2026 · métricas 2.10.0
PyPI
mmschlk/shapiq
Shapley Interactions and Shapley Values for Machine Learning
MIT26 jul 2026 · métricas 2.10.0
npm · PyPI
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
MIT12 ago 2026 · métricas 2.10.0
PyPI
givasile/effector
Effector - a Python package for global and regional effect methods
MIT17 jul 2026 · métricas 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
MIT19 ago 2026 · métricas 2.10.0
PyPI
Sid-MB/interlens
Python framework for efficient and precise interpretability research on multi-agent conversations.
AGPL-3.015 jul 2026 · métricas 2.10.0
PyPI
rmovva/HypotheSAEs
HypotheSAEs: hypothesizing interpretable relationships in text datasets using sparse autoencoders. https://arxiv.org/abs/2502.04382
Apache-2.027 jul 2026 · métricas 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.
Licencia propia19 jul 2026 · métricas 2.10.0