MuyGPyS is a Gaussian process estimation method that affords fast hyperparameter optimization by way of performing leave-one-out cross-validation. The latest release introduces a new interface for handling backend implementations of the math functions, a new PyTorch backend, and a bespoke PyTorch MuyGPs layer for use in deep kernel models built in MuyGPs.
Learn more:
