gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [Bug]raise RuntimeError("Shapes are not broadcastable for mul operation")
- Prevent dtype errors when torch's default_dtype is set to torch.float64
- [Bug] Wrong expression for leave-one-out error and variance
- Ensure PSD-safe factorization in constructor of `MultivariateNormal`
- Tests for metrics
- Re-think conditions for switching from Cholesky to CG
- Fix some overly brittle deprecation warning tests
- mini-batch DKL training for multiple-output [Docs]
- [Bug] test_t_matmul_matrix fails
- [Bug] Incompatibility between delta dsitribution and unwhitened strategy in gpytorch.variational for fixed inducing points
- Docs
- Python not yet supported