AI Security Metrics - Accuracy Monitoring and Data Drift Detection
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Updated
Jan 28, 2026 - Python
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data-drift-detection
Here are 4 public repositories matching this topic...
End-to-end MLOps project for vehicle insurance prediction with ZenML, featuring data drift detection and automatic model retraining.
python machine-learning monitoring mongodb scikit-learn mlops zenml data-drift-detection auto-retraining
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Feb 19, 2026 - Python
Semantic drift detection for NLP using Sentence Transformers. Detect ML model degradation in production with embedding analysis.
evidently-ai data-drift-detection nlp-monitoring sentence-transformers-drift ml-model-monitoring semantic-similarity-drift
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Dec 30, 2025 - HTML
This project builds a production-grade ML pipeline to classify Near-Earth Objects (NEOs) as hazardous or non-hazardous. It automates data ingestion, preprocessing, model training, monitoring, and drift detection using GitHub Actions, PostgreSQL, MLflow, DAGsHub, and Grafana.
data-science machine-learning-algorithms postgresql data-visualization statistical-analysis grafana-dashboard chi-square mlops mlflow-tracking-server github-actions population-stability-index dagshub data-drifts data-drift-detection
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Mar 9, 2026 - Python
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