gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- Kernel jit postprocess
- [Examples] Standardize Predictors for ARD
- [Bug] Multi-step fantasies fail with Lanczos
- Allow Additive and Product Kernels to accomodate multiple outputs [Feature Request]
- [Feature Request] Add PSD type checking on LazyTensors
- [Docs] Gaussian noise models and FixedNoiseGaussianLikelihood are missing documentation.
- [Bug] Broken test: test_multitask_gp_mean_abs_error_cuda
- Allow different representation of multi-task MVNs
- [Bug] Updating root inverse decomposition using the Schur complement fails in get_fantasy_strategy
- Require py>=3.7
- Docs
- Python not yet supported