gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- 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
- [Feature Request] Register all gpytorch cache computations as pytorch buffers
- Scalable SM Kernel [Feature Request]
- Support for FP16 training and apex
- Make predictions faster with keeping gradient information
- [Docs] How to save likelihood?
- Docs
- Python not yet supported