Hello HN! I built Cubyc to manage my ML research in grad school.
It lets you store all your experiment metadata with cloud-based repo providers like GitHub, GitLab, and Bitbucket. Plus, you can directly use SQL to dive into your runs.
I kept it simple as a headless Python library so it's easy to install and integrate, and doesn't weigh down projects.
It lets you store all your experiment metadata with cloud-based repo providers like GitHub, GitLab, and Bitbucket. Plus, you can directly use SQL to dive into your runs.
I kept it simple as a headless Python library so it's easy to install and integrate, and doesn't weigh down projects.
Feedback is appreciated!