BoTorch is an open-source library for Bayesian optimization built on PyTorch, making it easy to plug in new models, functions, and optimizers.
Build custom Bayesian optimization workflows easily
BoTorch is an open-source library designed for anyone looking to perform Bayesian optimization using PyTorch. Whether you’re a researcher or a developer, you can use BoTorch to create custom optimization routines by plugging in your own models, acquisition functions, and optimizers.
The site offers clear documentation, introductory guides, and tutorials to help you get started quickly. You’ll find resources for integrating BoTorch into your projects and exploring advanced optimization techniques at your own pace. Everything is designed to be flexible, so you can tailor your optimization workflow to fit your needs.
If you’re interested in machine learning, experimentation, or data-driven decision-making, BoTorch provides the tools and support to streamline your process. The platform is well-suited for those who want to leverage PyTorch for advanced optimization tasks.
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