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Learn how to create, develop, and maintain a state-of-the-art MLOps code base
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🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
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This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
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Prepare a project for public collaboration — license, code of conduct, docs, branch rulesets, templates, and git-cliff releases. Use when open-sourcing a repository, onb…
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Convert notebook prototypes into a distributable Python package with a src layout, a domain/io/application split, and validated OmegaConf plus Pydantic configuration. Us…
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Add the validation layers that gate a merge — ty typing, Ruff linting, pytest coverage, structured logging, and the trivy, pip-audit, and gitleaks scans. Use when harden…
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A comprehensive resource hub for mastering web development, covering everything from fundamental concepts to advanced topics and project-based learning. This also includ…
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A series of Terraform based recipes to provision popular MLOps stacks on the cloud.