GPyTorch
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About
GPyTorch is a powerful tool for implementing Gaussian Processes (GPs) with GPU support, aimed at optimizing computational efficiency. Built in PyTorch, it helps users leverage advanced methods in statistics and machine learning, particularly suited for large datasets. The tool requires Python version 3.8 or higher and the installation is straightforward with the command 'pip install gpytorch'. For more details, users can access comprehensive documentation and numerous examples provided on GitHub. GPyTorch was developed by a team from Cornell University and other institutions, with additional funding from various organizations including the Bill and Melinda Gates Foundation and the National Science Foundation.
Platform
Features
• gpu acceleration
• integration with pytorch
• modular design
• supported by extensive documentation and examples
• highly efficient implementation of gaussian processes
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