Typed configuration management for ML projects
Project description
Stardust - Simple ML configuration management
pip install stardust-config
or:
uv add stardust-config
Why ?
In my personal projects, I spend a lot of time tinkering with the yaml and json files, and the parameters and it wastes a lot of time, and sometimes messes up with reproducibility. Stardust is aiming to fix all of that for all general ML usecases, while being easy to use.
License
What license does Stardust use?
Stardust is released under the GNU Lesser General Public License (LGPL-2.1 license)
You can use Stardust in commercial and proprietary projects. Your own project does not become LGPL just because you import Stardust or use it as a dependency.
If you modify Stardust itself and distribute that modified version, then only the modified Stardust library code must remain available under the LGPL. This does not mean your whole application, product, or proprietary codebase has to become LGPL.
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