DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

Egele et al., (2025). DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning. Journal of Open Source Software, 10(109), 7975, https://doi.org/10.21105/joss.07975

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Publication Details

Journal
The Journal of Open Source Software
Published
2025-05-19
DOI
https://doi.org/10.21105/joss.07975
Primary Topic
Machine Learning and Data Classification
Type
article
Field-Weighted Citation Impact
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article

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

Gavin Wiggins, Romain Égelé, Brett Eiffert, Prasanna Balaprakash
3 links
The Journal of Open Source Software
Machine Learning and Data Classification
article

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

Gavin Wiggins, Romain Égelé, Brett Eiffert, Prasanna Balaprakash
article en

Abstract

Egele et al., (2025). DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning. Journal of Open Source Software, 10(109), 7975, https://doi.org/10.21105/joss.07975

The Journal of Open Source SoftwareVol. 10(109)
Oak Ridge National Laboratory (US)
Openalex Percentile: Top 95%
Machine Learning and Data Classification
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DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning — Gavin Wiggins, Romain Égelé, et al. · The Journal of Open Source Software (2025) | TGRS Research Map | TGRS