Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
machine-learning
optimization
constrained-optimization
hyperparameter-optimization
meta-heuristic
simulated-annealing
hill-climbing
bayesian-optimization
nelder-mead
random-search
particle-swarm-optimization
evolution-strategies
blackbox-optimization
gradient-free-optimization
tree-of-parzen-estimator
hyperactive
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Updated
Nov 18, 2024 - Python