{"repo":"fmind/cookiecutter-mlops-package","free":true,"listed":false,"github":"https://github.com/fmind/cookiecutter-mlops-package","clone":"git clone https://github.com/fmind/cookiecutter-mlops-package.git","description":"Start building and deploying Python packages and Docker images for MLOps tasks.","language":"Python","stars":442,"topics":["best-practices","cookiecutter","mlops","python","template","machine-learning","mlflow","uv"],"license":"MIT","category":"machine-learning","readme_excerpt":"Cookiecutter - MLOps Package Jumpstart your MLOps projects with this comprehensive Cookiecutter template . The template provides a robust foundation for building, testing, packaging, and deploying Python packages and Docker images tailored for MLOps tasks. Related resources : - MLOps Coding Course (Learning) : Learn how to create, develop, and maintain a state-of-the-art MLOps code base. - MLOps Python Package (Example) : Kickstart your MLOps initiative with a flexible, robust, and productive Python package. - LLMOps Coding Package (Example) : Example with best practices and tools to support your LLMOps projects. - Agent Skills (Resource) : Enhance your AI Agents with standardized skills for MLOps and coding. Philosophy This Cookiecutter is designed to be a common ground for diverse MLOps environments. Whether you're working with Kubernetes, Vertex AI, Databricks, Azure ML, or AWS SageMaker, the core principles of using Python packages and Docker images remain consistent. This template equips you with the essentials for creating, testing, and packaging your AI/ML code, providing a solid base for integration into your chosen MLOps platform. To fully leverage its capabilities within a specific environment, you might need to combine it with external tools like Airflow for orchestration or platform-specific SDKs for deployment. You have the freedom to structure your src/ and tests/ directories according to your preferences. Alternatively, you can draw inspiration from the structu","default_branch":null,"files":null,"tree":[],"storefront":"/r/fmind","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/fmind/cookiecutter-mlops-package/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}