gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [Bug?] Predictive Variances Are Large At Training Points With FixedNoiseGaussianLikelihood, Small Noise
- Calculating probability of draw from posterior distribution
- Bug about run a DGP model using py files in my platform instead of import gpytorch directly
- Sampling from prior with IndexKernel
- [Feature Request] Identity Kernel
- Multi Process GPU Training [Feature Request]
- Additional KeOps Kernels
- Relationship between your LCM in Multi-output GP and LMC/ICM/SLFM
- [Bug] ExactMarginalLogLikelihood requires kwargs when using FixedNoiseGaussianLikelihood
- [Potential bug?] Extracting confidence region or individual rsamples of DKL application reaches error or crashes CUDA
- Docs
- Python not yet supported