cookiecutter-data-science and template-starter
These are complements: cookiecutter-data-science provides a general project directory structure and workflow organization, while ZenML's template builds on top of that foundation to add ML pipeline orchestration and experiment tracking capabilities.
About cookiecutter-data-science
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Setting up a data science project can be complex, with many files and folders to organize. This tool helps data scientists quickly create a standardized, logical structure for new projects, providing a consistent layout for raw data, processed data, notebooks, models, and reports right from the start. It ensures all team members can easily understand and navigate the project's layout.
About template-starter
zenml-io/template-starter
A template for a starter project for ZenML
This template helps MLOps engineers quickly set up a new machine learning project using ZenML. It provides pre-configured steps, pipelines, and stack configurations. By providing project details, you get a fully structured project environment ready for your machine learning workflows.
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