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?
MATLAB code of Bayesian Optimized Neural Network (BONN) for Gain Coefficient Estimation in Optical Fiber Laser Amplifier
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.
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