gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [Bug] Posterior on fantasy models can be memory inefficient on batches
- [Feature Request] Combine normalizing flows and GPs for flexible nonparametric/nonstationary modelling
- [Bug] Local Test Failures in `gpytorch.priors`
- [Bug] Variational GPs cannot compute gradients in eval mode
- [Bug] Batch Independent Multioutput GP always uses DefaultPredictionStrategy
- [Bug] `mean_cache` not attached with correct `args` in `get_fantasy_model`
- [Bug] Multitask FixedNoise likelihood incorrectly computes data posterior
- [Bug] Error in sampling from LKJCovariancePrior
- fix the shape bug in `LKJCovariancePrior`
- [Bug] `protein.mat` dataset used in "Exact GP Regression with Multiple GPUs" example does not exist.
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