gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- "CG Terminated in 1000 iterations with average residual norm ____ , which is larger than the tolerance of 1 specified by gpytorch.settings.cg_tolerance)" Warning- What does this mean?
- Kernel with multiple inputs of different type
- How to fix certain dimensions of lengthscale in optimization
- Evaluating a set of available Gaussian Process models
- probabilistic clustering with GPs and pyro
- Using SVGPs with correlated input uncertainties
- Variational Distribution parameterized by a NN
- [Bug] MultitaskGP works with up to 3 outputs but fails with 4+ outputs
- support for non-stationary GP
- [Feature Request] Verbose Settings
- Docs
- Python not yet supported