coqui-ai/coqpit
Simple but maybe too simple config management through python data classes. We use it for machine learning.
This helps machine learning engineers manage experimental settings. It takes configuration details like model parameters, dataset paths, and training settings, and outputs a structured, shareable configuration file. This is for machine learning practitioners who need to define, validate, and share their experiment setups consistently across different environments and team members.
108 stars. Used by 2 other packages. No commits in the last 6 months. Available on PyPI.
Use this if you need a lightweight, Python-native way to define, validate, and serialize your machine learning model configurations, especially when collaborating or deploying to different platforms.
Not ideal if your configuration heavily relies on `Union` types for console arguments, requires serialization formats other than JSON, or involves `List` types with multiple item type annotations.
Stars
108
Forks
39
Language
Python
License
MIT
Category
Last pushed
Apr 12, 2023
Commits (30d)
0
Dependencies
1
Reverse dependents
2
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