gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- fix(constraints): compare underlying transforms in Interval.intersect
- Preserve correlated task noise in approximate likelihoods
- Fix parameter batch axes in Hamming IMQ covariances
- Normalize negative tensor event indices in multitask covariance
- Fix multitask covariance ordering during arithmetic
- Fix rectangular covariance in RBFKernelGradGrad
- Fix multidimensional GibbsKernel normalization
- CIQ natural-gradient strategy loses posterior correlations in full-covariance evaluation
- Compute full predictive covariance in CIQ variational strategy when diag is False
- Fix posterior covariance with missing training labels
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- Python not yet supported