PyPI
obss/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
MITAug 1, 2026 · metrics 2.10.0
All tags
Catalogue tag
#explainable-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.
8 records
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
npm
astroautomata/SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
Apache-2.0Jul 26, 2026 · metrics 2.10.0
PyPI
trustgraph-ai/trustgraph
Write context once. Run agents anywhere. Own your data and the models.
Apache-2.0Jul 15, 2026 · metrics 2.10.0
PyPI
rentruewang/aioway
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
Apache-2.0Aug 1, 2026 · metrics 2.10.0
npm
ruvnet/agentdb
Vector memory that gets smarter every time your agent uses it.
MITJul 23, 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