hyperactive-project/Hyperactive
A unified interface for optimization algorithms and experiments
This tool helps machine learning practitioners and data scientists find the best settings for their models. You provide your machine learning model and a range of possible settings, and it systematically explores these options to deliver the optimal configuration that makes your model perform best. It's ideal for anyone working with models from libraries like scikit-learn, sktime, skpro, or PyTorch who needs to optimize model performance.
546 stars.
Use this if you need to automatically discover the best hyperparameters for your machine learning models or optimize any 'black-box' function where you want to find the input that yields the best output.
Not ideal if you need a visual, no-code interface for hyperparameter tuning, or if your primary work is outside of Python-based machine learning development.
Stars
546
Forks
72
Language
Python
License
MIT
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
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