Awesome Infra for AI › Model & Data Drift Monitoring

Model & Data Drift Monitoring

4 projects

deepchecks/deepchecks

Deepchecks is an open-source platform providing continuous validation for AI and ML models and data from research to production, focusing on testing, CI, and monitoring.

⭐ 4061 Python

NannyML/nannyml

NannyML is an open-source Python library for post-deployment ML model monitoring, offering performance estimation, data drift detection, and intelligent linking of drift alerts to performance changes.

⭐ 2157 Python

MAIF/eurybia

Eurybia is a Python library for detecting data and model drift, validating data, and generating comprehensive HTML reports for AI governance and model monitoring.

⭐ 224 Jupyter Notebook

squaredev-io/whitebox

Whitebox is an open-source, end-to-end ML monitoring platform with edge capabilities that integrates with Kubernetes, focusing on classification and regression model metrics, data/model drift, and ...

⭐ 179 Python