GPflux

Sep 1, 2021 · 1 min read
projects

GPflux is a TensorFlow/Keras framework for Deep Gaussian Processes, developed at Secondmind Labs. It builds on GPflow and exposes Deep GP layers as familiar Keras building blocks, making it easier to compose deep probabilistic models.

Contributed during my doctoral student researcher appointment at Secondmind Labs, alongside Vincent Dutordoir, ST John, and other members of the lab.

Gaussian Processes Deep Learning Probabilistic Models Open Source
Louis Tiao
Authors
Louis Tiao
Research Scientist
My name is Louis Tiao, and I graduated from one of Australia’s top engineering schools with really good grades. Now, I’m using my knowledge to help up-and-coming tech companies make it in this competitive world.