There are 2 repositories under derivative-free topic.
A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy functions over continuous domains.
Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
A collection of black-box optimizers with a focus on evolutionary algorithms
Derivative-free nonlinear global optimizer with python interface
Tutorial on Bayesian optimization in R
Client of distributed ZOOpt in Julia
A simple Python-3 implementation of the derivative-free Torczon algorithm for nonlinear constrained optimization
Offical Pytorch Implementation of EnKG
Constrained multi-objective derivative-free global solver
Code for Multi-Objective Simultaneous Optimistic Optimisation
Derivative-free solver for the minimization of a function over the convex hull of a set of vectors
Methods for derivative-free optimization of continuous functions
The Stepping Stones Search Algorithm. A simple derivative-free optimizer.