SimonBlanke / Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Date Created 2020-04-04 (4 years ago)

Commits 937 (last one 14 days ago)

Stargazers 1,211 (0 this week)

Watchers 22 (0 this week)

Forks 84

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RepositoryStats indexes 595,856 repositories, of these SimonBlanke/Gradient-Free-Optimizers is ranked #43,218 (93rd percentile) for total stargazers, and #101,075 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #6,757/119,431.

SimonBlanke/Gradient-Free-Optimizers is also tagged with popular topics, for these it's ranked: machine-learning (#1,164/8063), optimization (#77/901), hyperparameter-optimization (#24/122)

Other Information

SimonBlanke/Gradient-Free-Optimizers has Github issues enabled, there are 11 open issues and 36 closed issues.

There have been 7 releases, the latest one was published on 2024-12-07 (14 days ago) with the name v1.7.1.

Homepage URL: https://simonblanke.github.io/gradient-free-optimizers-documentation

All Topics

hyperactive nelder-mead optimization hill-climbing random-search meta-heuristic machine-learning simulated-annealing evolution-strategies bayesian-optimization blackbox-optimization constrained-optimization tree-of-parzen-estimator gradient-free-optimization hyperparameter-optimization particle-swarm-optimization

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388 commits on the default branch (master) since jan '22

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updated: 2024-12-21 @ 09:34am, id: 252927263 / R_kgDODxNdHw