PyPI
obss/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
MIT15 sept 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.
13 registros
PyPI
deel-ai/xplique
👋 Xplique is a Neural Networks Explainability Toolbox
Licencia propia19 sept 2026 · métricas 2.10.0
PyPI
mmschlk/shapiq
Shapley Interactions and Shapley Values for Machine Learning
MIT14 sept 2026 · métricas 2.10.0
PyPI · npm
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
MIT17 sept 2026 · métricas 2.10.0
PyPI
trustgraph-ai/trustgraph
The context orchestration layer powered by hypergraphs. Build a unified semantic context layer where agentic outcomes are deterministic and agent behavior is not just traceable, but cryptographically verifiable.
Apache-2.08 sept 2026 · métricas 2.10.0
npm
astroautomata/SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
Apache-2.013 sept 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-2.015 sept 2026 · métricas 2.10.0
PyPI
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
MIT19 oct 2026 · métricas 2.10.0
PyPI
solvi-ai/solvi
A runtime where decision models propose and your code decides: typed questions, hard rules, quotes checked against the text, escalation with a guaranteed error budget, replayable traces. Works with any System One model.
Apache-2.011 oct 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 propia11 sept 2026 · métricas 2.10.0
npm
footprintjs/explainable-ui
Themeable React components for visualizing FootPrint pipeline execution
Sin licencia18 sept 2026 · métricas 2.10.0
Maven
koryki-java/core
Explainable semantic querying for relational databases with AI-assisted, human-verifiable control.
Apache-2.019 oct 2026 · métricas 2.10.0
npm
ruvnet/agentdb
Vector memory that gets smarter every time your agent uses it.
MIT13 sept 2026 · métricas 2.10.0