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Contents

A lightweight template repository for automating the ML lifecycle can be found here. The contents of this repository are described below.

Note: It is not recommended to fork this repository and use it as a template directly. This repository is structured to host a large number of examples and CI for automation and testing.

directory description
.github GitHub specific files like Actions workflow yaml definitions and issue templates
experimental self-contained directories of experimental tutorials
notebooks interactive Jupyter notebooks for iterative ML development
tutorials self-contained directories of tutorials
workflows self-contained directories of job to be run, organized by scenario then tool then project

Contributing

We welcome contributions and suggestions! Please see the contributing guidelines for details.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.

Reference