GPy is a Gaussian Process (GP) framework written in python, from the Sheffield machine learning group.
Gaussian processes underpin range of modern machine learning algorithms. In GPy, we've used python to implement a range of machine learning algorithms based on GPs.
GPy is available under the BSD 3-clause license. We'd love to incorporate your changes, so fork us on github!
After a long series of changes, we're pleased to announce the GPy 1.0.7 is ready for use. Users can download the code from github (deploy branch) or install with pip.. There are lots of changes, we've tried to highlight important ones in the changelog.
Installation instructions along side the source code can be found on the GPy project github page. The instructions vary slightly with the target OS but essentially revolve around installing from the python package index, PyPI
If you have any questions about the project, or require any help working with the code please make sure you are signed up the the
You can read the online documentation for GPy here:tutorials first.