intel/intel-xai-tools

Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Relevant information in the dataset, feature-set, and model's algorithms are exposed.

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Archived Stale 6m No Package No Dependents
Maintenance 0 / 25
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Maturity 9 / 25
Community 14 / 25

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Stars

39

Forks

6

Language

Jupyter Notebook

License

Apache-2.0

Category

explainability-interpretability-frameworks

Last pushed

Sep 22, 2025

Commits (30d)

0

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Explainability Interpretability Frameworks · 223 frameworks

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