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## Changes in 0.1.0
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### Enhancements
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* **GaiaFlow Framework**: Introduced GaiaFlow, a local MLOps framework designed
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to streamline and standardize the structure of machine learning projects.
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* Key Features:
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* Standardized Project Structure: Ensures consistent project organization for
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ML workflows.
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* Comprehensive Examples: End-to-end ML pipeline examples provided to
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demonstrate the framework’s usage.
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* Initial Testing & CI Setup: Basic tests and continuous integration
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pipelines included, with flexibility for users to expand.
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* Documentation: Detailed documentation outlining the framework’s components
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and how to use them effectively.
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* Included Tools:
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* **Airflow**: For orchestration and workflow management.
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* **MLFlow**: For tracking experiments and managing the ML lifecycle.
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* **Jupyter** Lab: For interactive development and analysis.
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* **MinIO**: For object storage compatible with S3 APIs.
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* **Cookiecutter**: Used to generate the standardized project structure.

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