Distributed GPs using TensorFlow.
Project description
gptf is a library for building Gaussian Process models in Python using TensorFlow, based on GPflow. Its benefits over GPflow include:
Ops can be easily pinned to devices / graphs, and inherit their device placement from their parents.
Autoflow that plays nicely with the distributed runtime.
Better trees for a better world.
Explanatory notebooks can be found in the notebooks directory, and documentation can be found here.
Installation
pip install gptf
or, from source:
git clone https://github.com/ICL-SML/gptf
cd gptf
pip install .
Running tests
git clone https://github.com/ICL-SML/gptf
cd gptf
pip install nose
nosetests
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