GPyTorch
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About
GPyTorch is a highly efficient and modular implementation of Gaussian Processes, with GPU acceleration. It is implemented in PyTorch. It requires Python >= 3.8. Developed at Cornell University, Columbia University, University of Pennsylvania, New York University, and Meta, with funding from the Bill and Melinda Gates Foundation, the National Science Foundation, SAP, the Simons Foundation, and the Gatsby Charatable Trust.
Platform
Task
Features
• gpu acceleration
• implemented in pytorch
• highly efficient and modular implementation of gps
Pricing Plans
Free
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