SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Gaussian-Processes Surrogate Optimisation in python
💊 Guiding directed protein evolution with Bayesian Optimization - First Steps 💊
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
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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