This repository contains code to run Bayesian Optimization (BO) based on GP based surrogate models The codes uses the GPyTorch and BoTorch libraries. While the BoTorch has functions and classes for implementing BO, this library contains settings and models that I found to be useful in practice and in my research.
Clone/download the repository and use pip to install from the local directory.
cd <path_to_directory>
pip install .