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model-audit

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AmirhosseinHonardoust / Shap-Mini

Star 16

A minimal, reproducible explainable-AI demo using SHAP values on tabular data. Trains RandomForest or LogisticRegression models, computes global and local feature importances, and visualizes results through summary and dependence plots, all in under 100 lines of Python.

python open-source data-science machine-learning random-forest tabular-data data-visualization logistic-regression reproducibility model-interpretation feature-importance classification-model explainable-ai interpretable-machine-learning shap responsible-ai shap-values model-explainability trustworthy-ai model-audit
  • Updated Nov 9, 2025
  • Python

GlassAlpha / glassalpha

Star 2

GlassAlpha is an open-source toolkit for deterministic, regulator-ready ML audit reports. One command generates comprehensive, reproducible audits with TreeSHAP explainability, fairness metrics, calibration analysis, and robustness testing for XGBoost, LightGBM, and logistic regression models (binary classification, tabular data only).

machine-learning ai compliance fairness interpretability explainable-ai xai drift-detection recourse model-audit
  • Updated Dec 2, 2025
  • Python

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