gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- [Bug] Memory Usage when Backpropping wrt Model Inputs
- SCG method in GPyTorch
- [Bug] MultitaskGaussianLikelihood converges to a suboptimal result with increasing data
- [Experimental] Derivative Kernel
- [Feature Request] Add Laplacian Kernel
- [Bug] SKI calculates interpolation weights for each training iteration
- [Feature Request] Student T Processes
- [Question] Constraining inducing points
- [Feature Request] `__rmatmul__` for LazyTensors
- [Bug] Inconsistent marginal distribution shapes from likelihood calls for gaussian VS non-gaussian
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