gpytorch
https://github.com/cornellius-gp/gpytorch
Python
A highly efficient implementation of Gaussian Processes in PyTorch
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- Issues
- Implement Hadamard Gaussian noise
- [Bug] Problems in the normalization and standardization of data
- FEA: Parallel Partial Emulation (aka Multitask GPs with a shared kernel)
- [Docs] Can't turn off gradient tracking in the LMC example of "Variational GPs w/ Multiple Outputs"
- [Docs] Describe in documentation of Variational ELBO normalized by num_data
- Non stationary GP Gpytorch support
- [Bug] Potential Bug in GP Regression with KeOps Kernels
- Fixed `mean_cache` data extraction for dKG
- Missing word in Approximate GP documentation
- ValueError while converting gpytorch model to ONNX
- Docs
- Python not yet supported