gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [Bug] Some priors do not respect selected device
- [Bug] `get_fantasy_likelihood` method broken for `DirichletClassificationLikelihood`
- [Bug] Fantasy Models for Multitask GPs are broken
- [Bug] Broken example `Exact GP Regression with Multiple GPU`
- Marginal log-likelihood object unused in "Fully Bayesian GPs" example
- [Docs] Stochastic Variational Deep Kernel Learning
- [Bug] KeOps RBF kernel not properly equipped with prediction variance?
- [Bug] Sign error in Matern52KernelGrad
- [Bug] Multitask Approximate GP compatibility with NNVariationalStrategy
- [Feature Request] Inconsistent behaviour of batch broadcast when computing log_marginal of non-Gaussian likelihoods.
- Docs
- Python not yet supported