- GaiaFlow Framework: Introduced GaiaFlow, a local MLOps framework designed to streamline and standardize the structure of machine learning projects.
- Key Features:
- Standardized Project Structure: Ensures consistent project organization for ML workflows.
- Comprehensive Examples: End-to-end ML pipeline examples provided to demonstrate the framework’s usage.
- Initial Testing & CI Setup: Basic tests and continuous integration pipelines included, with flexibility for users to expand.
- Documentation: Detailed documentation outlining the framework’s components and how to use them effectively.
- Included Tools:
- Airflow: For orchestration and workflow management.
- MLFlow: For tracking experiments and managing the ML lifecycle.
- Jupyter Lab: For interactive development and analysis.
- MinIO: For object storage compatible with S3 APIs.
- Cookiecutter: Used to generate the standardized project structure.