#BoTorch is a library for #BayesianOptimization research built on top of #PyTorch, and is part of the PyTorch ecosystem. Read the BoTorch paper [1] for a detailed exposition.
Bayesian Optimization (BayesOpt) is an established technique for sequential optimization of costly-to-evaluate black-box functions. It can be applied to a wide variety of problems, including hyperparameter optimization for machine learning algorithms, A/B testing, as well as many scientific and engineering problems.
https://github.com/pytorch/botorch
#machinelearning