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pypi.org : hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Registry - Source - Documentation - JSON
purl: pkg:pypi/hyperactive
Keywords: visualization , data-science , automated-machine-learning , bayesian-optimization , deep-learning , feature-engineering , hyperactive , hyperparameter-optimization , keras , machine-learning , model-selection , neural-architecture-search , optimization , parallel-computing , parameter-tuning , python , pytorch , scikit-learn , xgboost
License: Other
Latest release: 8 months ago
First release: almost 6 years ago
Dependent packages: 3
Dependent repositories: 1
Downloads: 3,855 last month
Stars: 512 on GitHub
Forks: 42 on GitHub
Total Commits: 2170
Committers: 10
Average commits per author: 217.0
Development Distribution Score (DDS): 0.27
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 6 days ago

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