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GitHub / SimonBlanke / Hyperactive

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

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SimonBlanke%2FHyperactive
PURL: pkg:github/SimonBlanke/Hyperactive

Stars: 524
Forks: 49
Open issues: 27

License: mit
Language: Python
Size: 30.7 MB
Dependencies parsed at: Pending

Created at: over 6 years ago
Updated at: about 1 month ago
Pushed at: 19 days ago
Last synced at: 19 days ago

Commit Stats

Commits: 2217
Authors: 9
Mean commits per author: 246.33
Development Distribution Score: 0.007
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SimonBlanke/Hyperactive

Topics: automated-machine-learning, bayesian-optimization, data-science, 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

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