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Top 3.7% downloads on pypi.org
Top 1.9% dependent packages on pypi.org
Top 6.6% dependent repos on pypi.org
Top 5.0% forks on pypi.org
pypi.org : gradient-free-optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Registry
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Source
- Documentation
- JSON
purl: pkg:pypi/gradient-free-optimizers
Keywords: optimization, bayesian-optimization, blackbox-optimization, constrained-optimization, evolution-strategies, gradient-free-optimization, hill-climbing, hyperactive, hyperparameter-optimization, machine-learning, meta-heuristic, nelder-mead, particle-swarm-optimization, random-search, simulated-annealing, tree-of-parzen-estimator
License: MIT
Latest release: 25 days ago
First release: about 4 years ago
Dependent packages: 5
Dependent repositories: 5
Downloads: 3,882 last month
Stars: 1,119 on GitHub
Forks: 77 on GitHub
Total Commits: 662
Committers: 7
Average commits per author: 94.571
Development Distribution Score (DDS): 0.485
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 9 days ago