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:
visualization
, data-science
, bayesian-optimization
, blackbox-optimization
, constrained-optimization
, evolution-strategies
, gradient-free-optimization
, hill-climbing
, hyperactive
, hyperparameter-optimization
, machine-learning
, meta-heuristic
, nelder-mead
, optimization
, particle-swarm-optimization
, random-search
, simulated-annealing
, tree-of-parzen-estimator
License: Other
Latest release: 4 months ago
First release: about 5 years ago
Dependent packages: 5
Dependent repositories: 5
Downloads: 6,406 last month
Stars: 1,204 on GitHub
Forks: 84 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: 10 days ago