GPyTorch

GPyTorch is a Gaussian process library implemented using PyTorch, designed for creating scalable, flexible, and modular Gaussian process models. It performs most inference operations using numerical linear algebra techniques such as preconditioned conjugate gradients, and provides GPU acceleration through matrix-vector-multiplication-based inference. Installation requires Python 3.10 or later, PyTorch 2.4.1 or later, and NumPy 2.0 or later.

GitHub repo Directory import
0 shouts Added Sep 23, 2026 github.com
github.com/cornellius-gp/gpytorch
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Features

  • A highly efficient implementation of Gaussian Processes in PyTorch Source: github.com
  • scalable, flexible, and modular Gaussian process models Source: github.com

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