PyPI
obss/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
MIT1 ago 2026 · métricas 2.10.0
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#explainable-ai
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.
8 registros
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
npm
astroautomata/SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
Apache-2.026 jul 2026 · métricas 2.10.0
PyPI
trustgraph-ai/trustgraph
Write context once. Run agents anywhere. Own your data and the models.
Apache-2.015 jul 2026 · métricas 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-2.01 ago 2026 · métricas 2.10.0
npm
ruvnet/agentdb
Vector memory that gets smarter every time your agent uses it.
MIT23 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