Experiments using LLMs for whitepater analysis from the AI ML risk management perspective
-
Updated
Feb 21, 2025 - Jupyter Notebook
#
model-risk-management
Here are 3 public repositories matching this topic...
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.
pdf-report grc data-privacy risk-assessment ai-ethics streamlit ethical-ai ai-compliance ai-governance model-risk-management nist-ai-rmf iso-42001
-
Updated
Jun 15, 2025 - Python
Production-grade fraud detection system using PyTorch & XGBoost with SHAP explainability, graph-based feature engineering, and SR 11-7 regulatory compliance — built for real-time banking environments.
python data-science machine-learning deep-learning neural-network pytorch banking xgboost financial-services feature-engineering graph-analysis fraud-detection explainable-ai shap model-risk-management
-
Updated
Feb 10, 2026 - Python
Improve this page
Add a description, image, and links to the model-risk-management topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the model-risk-management topic, visit your repo's landing page and select "manage topics."