model-fairness

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SWARNIM-TIWARI / creditwise-ml

End-to-end credit risk ML pipeline with CatBoost, SHAP & LIME explainability, fairness monitoring, and auto-generated PDF reports — built for auditability over accuracy.

docker data-science machine-learning gradio lime catboost explainable-ai xai mlops shap ml-pipeline responsible-ml risk-prediction pdf-reporting credit-risk-analysis tabular-ml model-fairness auditability-governance bias-monitoring

Updated Mar 21, 2026
Python

majid-200 / Interpretable-ML-with-Python

Star

A practical exploration of Interpretable Machine Learning (XAI) with Python. This repository features Jupyter notebooks covering SHAP, LIME, Anchors, Counterfactuals, Grad-CAM, and more, applied to models from Linear Regression to Convolutional Neural Networks (CNNs).

explainable-ai xai interpretable-machine-learning model-fairness

Updated Nov 1, 2025
Jupyter Notebook

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