gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [Bug]: negative variance error when running exactly the same code in different hardware resources
- [Docs] Exception in "Fully Bayesian GPs - Sampling Hyperparamters with NUTS"
- [Docs] broken reference link
- CG Tolerance warnings with KISS-GP and SpectralMixtureKernel
- [Bug] DKL with InducingPointKernel produces a non-symmetric and non-positive-definite covariance matrix
- [RFC] Move input transforms to GPyTorch
- [Bug] "tuple index out of range" error message in multi-task sparse GP
- Migrate trace_mode to linear_operators and disable conditional control flow
- [Bug] MultivariateNormal uses unsafe cholesky decomposition when covariance matrix is not lazy
- [Docs] GP Regression With Uncertain Inputs
- Docs
- Python not yet supported