gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- Implementing Iterative Trimming GP
- [Bug] Difference between get_fantasy_model and set_train_data
- [Feature Request] Adding a Multitask Truncated Multivariate Normal Likelihood
- [Bug] Multi-GPU support in "Exact GP Regression with Multiple GPUs" example seems broken
- Replace broken download in `Simple_MultiGPU_GP_Regression.ipynb` of non-existing dataset file with one that exists
- [Bug] Posterior on fantasy models can be memory inefficient on batches
- [Feature Request] Combine normalizing flows and GPs for flexible nonparametric/nonstationary modelling
- [Bug] Local Test Failures in `gpytorch.priors`
- [Bug] Variational GPs cannot compute gradients in eval mode
- [Bug] Batch Independent Multioutput GP always uses DefaultPredictionStrategy
- Docs
- Python not yet supported