model-fairness

Here are 5 public repositories matching this topic...

SWARNIM-TIWARI / creditwise-ml

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

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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

kajykk / hr-attrition

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企业员工离职风险预警系统(HRA) - LightGBM + IsolationForest + SHAP 多模态融合 · 测试AUC 0.9862 · FastAPI + Vue3 · 漂移/公平性治理 + 2FA/PII加密 · 288+ tests

python docker machine-learning typescript postgresql celery lightgbm explainable-ai mlops vue3 drift-detection shap fastapi employee-attrition hr-analytics pii-protection model-fairness

Updated Sep 12, 2026
Python

Kunj2710 / cvd-referral-cost-classifier

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Rank heart-disease models by clinical cost, not accuracy: the 5th-most-accurate saves $9.7M per 10K patients: cost-sensitive model selection, fairness & robustness audits

machine-learning scikit-learn healthcare classification cost-sensitive-learning model-fairness

Updated Sep 21, 2026
Python

chase-munson / nd0821-c3-deploying-a-scalable-pipeline-in-prod-demos

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FastAPI deployment exercises plus a model fairness/bias audit (Aequitas) on a COMPAS-style dataset.

python machine-learning udacity fastapi model-fairness

Updated Sep 17, 2026
Jupyter Notebook

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