Inspired by the cookiecutter-data-science template. This template has been updated to better fit machine learning-based projects and is being used as the core template in this MLOps course.
- Python 3.11
- Cookiecutter v2.4.0
Start by creating a repository either using the Github GUI in the webbrowser or alternatively you can use the Github command line interface if you have set it up:
gh repo create <repo_name> --public --confirm
Afterwards on your local machine run
cookiecutter https://github.com/SkafteNicki/mlops_template
and input starting values for the project. When asked for the repository named when creating the template, input the same name as when you created the repository.
To commit to the remote repository afterwards execute the following set of commands:
cd <repo_name>
git init
git add .
git commit -m "init cookiecutter project"
git remote add origin https://github.com/<username>/<repo_name>
git push origin master
🐍 Python projects using pyproject.toml