A collection of data science projects, notebooks, and templates.
If you find something useful, use it. If you expand on it, pull requests are welcome!
Practical MLflow Workflows for Monitoring, Evaluation & Continuous Improvement
Hands-on workshop notebooks covering the six pillars of Agent Ops: tracing, evaluation, human feedback, production monitoring, governance, and prompt optimization — using MLflow on Databricks and open-source.
Two tracks available:
- Track A (Databricks): MLflow 3 GenAI APIs with Unity Catalog-backed traces
- Track B (OSS): Classic
mlflow.evaluate()on self-hosted MLflow
More projects coming someday.