TanML

Automated validation toolkit for tabular ML models in finance and regulated domains.

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TanML is an automated validation toolkit for tabular machine learning models used in finance and other regulated industries, covering model calibration, credit-risk checks, data profiling, drift detection, explainability, fairness testing, and audit-ready reporting. It's for model risk management and validation teams who need to document and justify an ML model's behavior to regulators without building validation tooling from scratch.

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