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MLOps is conceived as a set of practices to put and monitor AI applications in production.
Based on the user requirements gathered in AI4EOSC project, we provide two tools:
one focusing on experiment tracking, using MLflow Submodule:
another one focusing on drift detection, using Frouros Submodule: