gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- root_decomposition: Auto-switch to cholesky for small matrices
- [Test Failure] test_fantasy_updates_cuda
- Slow marginal posterior computations
- [Docs] Possible error in gpytorch.likelihoods.gaussian_likelihood comments
- [Feature Request] Memory-efficient additive kernels
- linear combinations as training inputs
- [Docs] Questions about multitask models
- [Bug] no learning of covar_factor in multitask GP
- priors on (constant) mean in multi-task setting
- [Docs] Passing Custom 2D mean function & Variance AND previously trained model
- Docs
- Python not yet supported