Shypd.aiThe largest open index of AI toolsMLOps is an open-source collection of examples and solutions for operationalizing ML workflows with Azure Machine Learning. It integrates with GitHub and other Azure services to streamline managing the ML lifecycle.
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MLOps is an open-source project by Microsoft providing a comprehensive collection of examples and solutions for operationalizing machine learning workflows. It focuses on integrating with Azure Machine Learning, GitHub, and other Azure services like Data Factory and DevOps to streamline the entire ML lifecycle. The project offers guidance on implementing MLOps on Azure, showcasing various end-to-end scenarios for automating and managing ML pipelines, from model training and evaluation to deployment and monitoring. Key aspects covered include data and model versioning, auditability, model packaging, validation, and continuous monitoring to address model decay and ensure reproducibility. It also highlights best practices for CI/CD pipelines in ML, emphasizing the differences between MLOps and traditional DevOps.
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