gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [Feature Request] Input-dependent ScaleKernel
- Add inducing point initialization utilities (K-means + median heuristic)
- Add SphericalLinear kernel
- fix(variational): clear eval cholesky caches after backward
- 🔧 Refactor: modernize outdated GitHub Actions workflow dependencies
- [Bug] NNVariationalStrategy returns only diagonal covariance in eval mode
- [Feature Request] Extend pseudo-point support beyond Cholesky variational distributions
- [Bug] v1.15.2 slow torch.no_grad() predictions of mean and std
- Fix memory leak in DefaultPredictionStrategy cache hooks (#2631)
- Add OrthogonalRandomFeaturesKernel
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