gptf is a library for building Guassian 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.

1. Install TensorFlow manually (at least version 0.9).
2. Run python setup.py develop.

Tests can be run using python setup.py nosetests.