optunahub and optunahub-registry

These are ecosystem siblings where optunahub is the client library that enables users to discover, install, and execute packages from the optunahub-registry, which serves as the centralized package repository.

optunahub
63
Established
optunahub-registry
56
Established
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 18/25
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 22/25
Stars: 55
Forks: 14
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 50
Forks: 56
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No risk flags
No Package No Dependents

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

About optunahub-registry

optuna/optunahub-registry

The registry of the OptunaHub packages

This registry helps machine learning engineers and researchers share and discover specialized optimization techniques (Optuna packages). If you've developed an effective way to fine-tune a model or algorithm using Optuna, you can submit your code here to make it available to others. Conversely, you can browse and integrate existing optimization solutions developed by the community into your own projects.

hyperparameter-optimization machine-learning-engineering model-tuning research-collaboration algorithm-development

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