gilad-rubin/hypster
HyPSTER - Configuration Framework for Optimizing AI & AI Systems
Hypster helps AI/ML practitioners manage and fine-tune the settings for their artificial intelligence models and systems. It takes various configuration parameters, such as model names or temperature settings, and outputs optimized AI model instances. This is for machine learning engineers and data scientists who build and deploy AI models.
Available on PyPI.
Use this if you need a systematic way to define, manage, and optimize the many parameters that control your AI and machine learning workflows.
Not ideal if you are looking for a fully production-ready solution, as this tool is currently in active development.
Stars
57
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jan 29, 2026
Commits (30d)
0
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