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BoTorch · Bayesian Optimization in PyTorch
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Bayesian Optimization in PyTorch
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BoTorch · Bayesian Optimization in PyTorch BoTorch stable Docs Tutorials API Reference Papers GitHub Bayesian Optimization in PyTorch Introduction Get Started Tutorials Key Features Modular Plug in new models, acquisition functions, and optimizers. Built on PyTorch Easily integrate neural network modules. Native GPU & autograd support. Scalable Support for scalable GPs via GPyTorch. Run code on multiple devices. References BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization @inproceedings{balandat2020botorch, title = {{BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization}}, author = {Balandat, Maximilian and Karrer, Brian and Jiang, Daniel R. and Daulton, Samuel and Letham, Benjamin and Wilson, Andrew Gordon and Bakshy, Eytan}, booktitle = {Advances in Neural Information Processing Systems 33}, year = 2020, url = {http://arxiv.org/abs/1910.06403} } Check out some other papers using BoTorch . Get S...
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