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#interpretable-ai

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.

3 records
Tagged “interpretable-ai”Ranked by health index
npm · PyPI
94Exceptionalhealth index
meta-pytorch/captum
Model interpretability and understanding for PyTorch
Python★ 5,694Aug 28, 2026
BSD-3-ClauseAug 28, 2026 · metrics 2.10.0
npm · PyPI
92Excellenthealth index
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
C++ · Python★ 6,916↓ 601/moAug 12, 2026
MITAug 12, 2026 · metrics 2.10.0
PyPI
50Moderatehealth index
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.
HTML★ 0↓ 8,200/moJul 19, 2026
Custom licenseJul 19, 2026 · metrics 2.10.0