gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- Add typing annotations to gpytorch.Module
- Detach `new_covar_cache` to enable JIT tracing of models after fantasization
- [Bug] Models not JIT traceable/exportable to TorchScript after Fantasization
- sign fix for gradient blocks
- [Bug] Indexing LazyEvaluatedKernelTensor on batch dimension with index greater than 0 gives IndexError
- Hotfix: fix `.diagonal()` calls for keops kernel matrices.
- [Bug] _diagonal() fails when covariance is computed using keops kernels
- Reshape Targets and Mean for RHS in Cholesky solver
- [Bug] Multitask GP Regression fails for LeaveOneOutPseudoLikelihood mll
- fix bug #2585 : Multitask GP Regression fails for LeaveOneOutPseudoLikelihood mll
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- Python not yet supported