Reference implementation of Optimistic Expected Improvement.
Python package for modular Bayesian optimization
Bayesian Optimization using GPflow
Spearmint Bayesian optimization codebase
RoBO: a Robust Bayesian Optimization framework
Bayesian optimization in PyTorch
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
A Python implementation of global optimization with gaussian processes.