gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- DOC: fix typos in likelihood.py
- Update multivariate_normal.py to use loc instead of mean
- Allow pickle of IndexKernels
- [Bug] Extreme loss oscillation during training
- [Bug] Bug in GP Regression with KeOps Kernels
- Implement Hadamard Gaussian noise
- [Bug] Problems in the normalization and standardization of data
- FEA: Parallel Partial Emulation (aka Multitask GPs with a shared kernel)
- [Bug] Fantasy Model Speeds up after 2048 datapoints
- [Docs] Links to "Documentation" and to "Example" on the front page are the same link
- Docs
- Python not yet supported