gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- Preserve broadcast batches in MultivariateNormal.unsqueeze
- Fix the parameter name and class reference in the multitask MVN docstrings
- Keep learned additional noise when overriding fixed observation noise
- Preserve modern square SoftmaxLikelihood input orientation
- Support dense covariance in multitask normal batch expansion
- Preserve double backward in QuadFormDiagonal
- Broadcast shared fantasy inputs over existing model batches
- Validate scalar initialization on the parameter dtype and device
- Broadcast existing multitask covariance batches without repeating them
- Infer composite lazy feature batches from selected child dimensions
- Docs
- Python not yet supported