cookiecutter-data-science and cookie-ml
These are competitors—both provide cookiecutter templates for standardizing ML project structure, but A is a mature, widely-adopted standard while B is an abandoned alternative attempting to solve the same initialization problem.
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 cookie-ml
rvbug/cookie-ml
Helps to generate ML cookiecutter structure using Python
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work