Hyperparameter optimization: Difference between revisions

Revision as of 12:51, 18 August 2022

Revision as of 04:03, 23 September 2022

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* [https://ray.readthedocs.io/en/latest/tune.html Tune] is a Python library for hyperparameter tuning execution and integrates with/scales many existing hyperparameter optimization libraries such as [https://github.com/hyperopt/hyperopt hyperopt], [https://github.com/facebookresearch/nevergrad nevergrad], and [https://github.com/scikit-optimize/scikit-optimize scikit-optimize].

* [https://orion.readthedocs.io/ Oríon] is an asynchronous framework for distributed black-box optimization and hyperparameter optimization that includes built-in algorithms such as grid search, random search, MOFA, Hyperband, PBT, TPE and several integrations with hyperparameter optimization libraries such as [https://github.com/facebook/Ax Ax], [https://github.com/scikit-optimize/scikit-optimize scikit-optimize], [https://github.com/automl/HpBandSter HpBandSter], [https://github.com/huawei-noah/HEBO HEBO], [https://github.com/facebookresearch/nevergrad nevergrad] and [https://github.com/automl/DEHB DEHB].

* [https://github.com/google/vizier Open Source Vizier] is a Python-based service for blackbox hyperparameter optimization and research, based on [[Google's internal Vizier service.]]<ref name=google_vizier>{{cite web |last1=Golovin |first1=Daniel |last2=Solnik |first2=Benjamin |last3=Subhodeep |first3=Moitra |last4=Kochanski |first4=Greg |last5=Karro |first5=John |last6=Sculley |first6=D. |title=Google Vizier: A Service for Black-Box Optimization |url=https://dl.acm.org/doi/10.1145/3097983.3098043}}</ref>

== Commercial services ==