gpytorch 1.13
0
An implementation of Gaussian Processes in Pytorch
Contents
An implementation of Gaussian Processes in Pytorch
Stars: 3543, Watchers: 3543, Forks: 557, Open Issues: 376The cornellius-gp/gpytorch
repo was created 7 years ago and the last code push was Yesterday.
The project is very popular with an impressive 3543 github stars!
How to Install gpytorch
You can install gpytorch using pip
pip install gpytorch
or add it to a project with poetry
poetry add gpytorch
Package Details
- Author
- Jake Gardner, Geoff Pleiss
- License
- MIT
- Homepage
- https://gpytorch.ai
- PyPi:
- https://pypi.org/project/gpytorch/
- Documentation:
- https://gpytorch.readthedocs.io
- GitHub Repo:
- https://github.com/cornellius-gp/gpytorch
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Errors
A list of common gpytorch errors.
Code Examples
Here are some gpytorch
code examples and snippets.
GitHub Issues
The gpytorch package has 376 open issues on GitHub
- tighten test_unwhitened_svgp_regression.py::test_regression_error bound
- tigthen test_batch_svgp_gp_regression.py::test_regression_error bound
- Independent GP Inputs
- Computing a (mixture of hyperparameters) posterior predictive – with a custom method.
- [Question] Extract one GP from Hadamard Multitask
- The "predict" method in the Deep GP tutorial does not work correctly.
- Variational GP, Multitask models
- [Docs] Is it possible to derive the cholesky factorization of a huge PSD matrix on GPU using GPytorch?
- [Bug] Gradient computation with KeOps kernel only works with low number of training data, fails otherwise
- [Bug] Error in the "initialize" method of BatchIndependentMultitaskGPModel.
- [Bug][Docs] Exact GP with Missing Observations
- Student T Processes
- [Question] Implementation of ConstantKernel as in sklearn
- [Draft] Add Fantasy Strategy for Variational GPs
- [Question] GridInterpolationVariationalStrategy input for SVDKL