Automated validation toolkit for tabular ML models in finance and regulated domains.
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Updated
Mar 19, 2026 - Python
Automated validation toolkit for tabular ML models in finance and regulated domains.
Experiments using LLMs for whitepater analysis from the AI ML risk management perspective
SR 11-7 & EU AI Act compliant LLM validation framework for financial services — accuracy, adversarial robustness, and explainability auditing with automated report generation.
Regime model stability diagnostics for SR 11-7 and Basel IV governance
GRC-governed financial engineering simulation providing assurance and uplift for distressed credit stress testing, valuation and risk signal generation across scenarios.
Lightweight AI Governance Risk Assessment tool to score AI models across key risk factors (data quality, bias, privacy, explainability, robustness) with PDF report generation using Streamlit.
Quantitative diagnostic toolkit for Model Risk Management (MRM). Validates financial regime-switching models for structural stability and ordinal robustness under SR 11-7 and Basel IV governance frameworks.
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