GPflow: A Gaussian process library using TensorFlow
2016-10-27Code Available2· sign in to hype
Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/GPflow/GPflowIn papertf★ 1,906
Abstract
GPflow is a Gaussian process library that uses TensorFlow for its core computations and Python for its front end. The distinguishing features of GPflow are that it uses variational inference as the primary approximation method, provides concise code through the use of automatic differentiation, has been engineered with a particular emphasis on software testing and is able to exploit GPU hardware.