gpytorch
Deep Gaussian processes based on GPyTorch — doubly-stochastic variational DGPs: modular SVGP layers, a configurable deep-GP builder, ELBO training, and calibrated prediction
A Fast and Simplified Python Library for Uncertainty Estimation
Gaussian Process Regression toolkit for materials informatics, including physics-informed mean functions.
We have created a module to run the Gaussian process model. We have implemented the code based on GPyTorch.
