Shypd.aiThe largest open index of AI toolsmlops-stacks is an Open Source DevOps & Infrastructure tool that provides a customizable stack for starting new ML projects on Databricks. It helps data scientists iterate on ML code and MLOps engineers set up CI/CD and manage ML resources.
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mlops-stacks offers a customizable, open-source solution for initiating new machine learning projects on Databricks, adhering to production best practices. It streamlines the development process by providing a pre-configured environment that includes ML project structure, ML resources as code, and CI/CD workflows (GitHub Actions or Azure DevOps). Data scientists can quickly iterate on ML code, while MLOps engineers can efficiently set up continuous integration and continuous deployment pipelines and manage ML resources. The tool supports automated model training and batch inference jobs across dev, staging, and production Databricks workspaces, facilitating an easy transition to production-grade ML solutions. It also integrates with Databricks asset bundles and offers options for Unity Catalog and Feature Store.
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