SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Gaussian-Processes Surrogate Optimisation in python

💊 Guiding directed protein evolution with Bayesian Optimization - First Steps 💊

Tutorial on Bayesian optimization in R

NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynamics Lab at Newcastle University.

Implementation of ROCK* algorithm (Gaussian kernel regression + natural gradient descent) for optimisation

Accompanying code of BO-IRL published in Neurips 2020

How Bayesian should Bayesian Optimisation be?

Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in review.