model-audit

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.

• Updated
• Python

Laravel Boilerplate for building REST APIs

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• PHP

Model audit software

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• Python

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).

• Updated
• Python

A conservation-honest diagnostic framework for auditing early-universe models and separating physical dynamics from descriptive bookkeeping.

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• PowerShell

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• Python

🔍 Simplify ML compliance with GlassAlpha, an open-source toolkit for creating transparent, auditable, and regulator-ready models using reliable PDF reports.

• Updated
• Python