Aboleth

Jun 1, 2017 · 1 min read
projects

Aboleth is a minimalistic TensorFlow framework for scalable Bayesian deep learning and Gaussian process approximation, focused on variational inference techniques. Built at CSIRO Data61 with Daniel Steinberg and Lachlan McCalman.

Bayesian Deep Learning Probabilistic Models Variational Inference Open Source Deep Learning
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.