gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [Bug] Multitask Approximate GP compatibility with NNVariationalStrategy
- [Feature Request] Inconsistent behaviour of batch broadcast when computing log_marginal of non-Gaussian likelihoods.
- [Docs]
- How to use ApproximateGP Regression on Classification Labels
- [Feature Request] Gaussian Process Ordinal Regression (GPOR)
- [Bug]Function RootDecompositionBackward error when batch_size > 10 with MultiTaskDeepGP
- {Question} How to compute the posterior covariance matrix on the training data?
- [Feature Request] Batched GridInterpolationKernel
- [Bug] `IndexKernel` with empty input
- [Feature Request] Choose which dimentions to differenciate with respect to in derivative multitask GPs
- Docs
- Python not yet supported