gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [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.
- [Docs] Exact GP Regression on Classification Labels with multiple GPUs
- reduce linear operator overhead in exact marginal log likelihood computation
- [Bug] Memory leak when using ExactGP module
- FixedNoiseGaussianLikelihood Noise Not Handled Correctly for LikelihoodLists
- [Bug] Default noise constraint may be incompatible with some priors
- Docs
- Python not yet supported