optuna and optunahub

OptunaHub is a package registry and client library that enables users to share and install community-contributed optimization algorithms and samplers that extend Optuna's core hyperparameter optimization framework.

optuna
82
Verified
optunahub
63
Established
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 20/25
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 18/25
Stars: 13,673
Forks: 1,274
Downloads:
Commits (30d): 174
Language: Python
License: MIT
Stars: 55
Forks: 14
Downloads:
Commits (30d): 0
Language: Python
License: MIT
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About optuna

optuna/optuna

A hyperparameter optimization framework

This tool helps machine learning practitioners fine-tune their models. You define your model's parameters and a performance metric, and Optuna automatically runs many experiments to find the best combination of settings. This results in highly optimized models without extensive manual trial and error.

machine-learning model-training hyperparameter-tuning model-optimization data-science

About optunahub

optuna/optunahub

Python library to use and implement packages in OptunaHub

This tool helps machine learning engineers and researchers discover and apply advanced optimization algorithms to their models. It takes your existing Optuna studies, allowing you to easily experiment with various state-of-the-art samplers and pruners. The output is a more efficiently optimized model, finding better hyperparameters faster.

hyperparameter-optimization machine-learning-engineering model-tuning algorithm-selection black-box-optimization

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