fraud-scoring

Here are 3 public repositories matching this topic...

Md-Emon-Hasan / FraudChurn-Nexus

Unified ML platform serving two production risk models behind one API, fraud detection using a Logistic Regression pipeline at 92.4 percent accuracy and 0.90 F1, and churn prediction using a five-estimator hard-voting ensemble at 85.6 percent accuracy, with SMOTE balancing, sub-0.5 second inference, and CI-enforced 90 percent test coverage.

Updated Aug 5, 2026
Jupyter Notebook

rose-gul / credit-card-fraud-mlops

Star

End-to-end MLOps platform for credit-card fraud scoring: Kaggle-GPU trained (XGBoost vs PyTorch), MLflow registry, DVC pipeline, drift monitoring, and a multi-agent FastAPI serving layer.

python docker machine-learning gpu pytorch credit-card-fraud kaggle xgboost fraud-detection model-serving dvc mlops mlflow fastapi imbalanced-classification fraud-scoring

Updated Jul 5, 2026
Python

sadpig70 / covergate

Star

Gate synthesis on insurability: score design requests like card-fraud transactions, price liability-cover premiums, decline/refer/cover, and pool premiums against expected loss to a solvency verdict.

python cli reinsurance underwriting biosecurity risk-pooling fraud-scoring ideafirst insurer-funded-generation liability-cover cost-inversion

Updated Jun 7, 2026
Python

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