GPyTorch is a PyTorch-based library designed for implementing Gaussian processes. It was introduced by Jacob R. Gardner, Geoff Pleiss, David Bindel, Kilian Q. Weinberger and Andrew Gordon Wilson – researchers at Cornel University (research paper). Before going into the details of GPyTorch, let us first understand what a Gaussian process means, in short. Gaussian Process…

The post Guide To GPyTorch: A Python Library For Gaussian Process Models appeared first on Analytics India Magazine.