gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [Feature Request] Choose which dimentions to differenciate with respect to in derivative multitask GPs
- [Bug] Multitask-ExactGPs seem to not use mBCG algorithm as Singletask-ExactGPs do
- [Bug] Erroneous detaching with (custom?) mean
- [Bug] CUDA out of memory, strange numbers
- [Feature Request] Allow `kwargs` to be passed to `ExactMarginalLogLikelihood.forward()`
- [Docs] Unexpected behavior setting kernel priors
- [Feature Request] Is it possible to work with Changepoint kernels?
- [Docs] Making sense of batch processing and tasks
- Improve sampling from GP predictive posteriors.
- [Feature Request] Generic typing for scale kernels
- Docs
- Python not yet supported