gpytorch 1.11
0
An implementation of Gaussian Processes in Pytorch
Contents
An implementation of Gaussian Processes in Pytorch
Stars: 3393, Watchers: 3393, Forks: 538, Open Issues: 351The cornellius-gp/gpytorch
repo was created 6 years ago and the last code push was 4 days ago.
The project is very popular with an impressive 3393 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 351 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