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 |
We welcome contributions and suggestions! Please see the contributing guidelines for details.
This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.