Yerbamate is an open science framework designed for Python-based projects, including Artificial Intelligence (AI). It emphasizes modularity and separation of concerns to promote reproducibility, reusability, shareability, maintainability, and code quality.
This repository contains the LaTeX files for the scientific paper describing the Yerbamate framework. The source code for Yerbamate can be found at Github.
You can download the latest PDF version from here
We welcome contributions to the scientific paper describing the Yerbamate framework. Contributions may include answering questions, engaging in discussions, and sharing ideas related to the framework. To contribute, please open a new issue or comment on an existing issue.
We hope to create a new altmetric for your contributions to this work, and your contribution will be acknowledged in the paper. Please see the Contribution Guide for more information on how to contribute.
We are committed to creating an inclusive and welcoming community for all. Please see our Code of Conduct for more information on our expectations for behavior and how to report any violations.
You can reach us through GitHub Discussions or by directly sending an email to the maintainer of this repository at oalee{at}proton.me. We welcome your feedback, suggestions, and ideas for improving the project, and we look forward to hearing from you.