Hyperparameter optimization in Julia.
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Bayesian optimization for Julia
A julia package for bayesian optimization of black box functions.
Bayesian optimization is a method of finding the maximum of expensive cost functions. Bayesian optimization employs the Bayesian technique of setting a prior over the objective function and combining it with evidence to get a posterior function. This permits a utility-based selection of the next observation to make on the objective function, wh…
Bayesian Optimisation for Parameter Tuning of the XOR Neural Network
BOSS (Bayesian Optimization with Semiparametric Surrogate)
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