GitHub / SimonBlanke / Gradient-Free-Optimizers

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

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Commits: 662
Authors: 7
Mean commits per author: 94.57
Development Distribution Score: 0.485
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Topics: 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

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