BoTorch

Bayesian Optimization in PyTorch

BoTorch is a framework for efficient Monte-Carlo Bayesian optimization. It is built on PyTorch and provides modular features for easy integration of new models, acquisition functions, and optimizers. BoTorch also supports scalable Gaussian processes via GPyTorch and can run code on multiple devices. Get started with BoTorch by installing it and fitting a model using the provided code snippets.

BoTorch

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Bayesian Optimization

Machine Learning

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