GPflow

Gaussian Processes in TensorFlow!

site:

[Ryan-Rhys Griffiths @Ryan__Rhys]

A tutorial on Gaussian Process Regression for molecules using GPflow!

https://t.co/BkWnrD5gxH

@GPflowProject

[Vincent Dutordoir @vdutor]

Here is a visual of how samples from a Gaussian process update in light of new data. Made with @manim_community

[GPflow @GPflowProject]

Used GPflow before? Liked it? Didn't like it?
We are running a survey to understand some of the challenges that people experience when using GPflow and where improvements could be made. Any answers you provide will help!
Survey link: https://t.co/aDOrlEZxiq

[Felix Leibfried @felix_leibfried]

Our tutorial on sparse Gaussian processes (GPs) and variational inference (VI) is online:

https://t.co/4yCR6m1iWH

covering interdomain, multioutput and deep GPs, as well as importance-weighted VI, but also VI with neural networks! @vdutor @scien_ti_st @NicolasDurrande

[Secondmind Labs @SecondmindLabs]

What is Trieste?

We recently launched our open-source toolbox: Trieste. It's a Python library for Bayesian optimization, based on
@TensorFlow and @GPflowProject https://t.co/R1Y5aMTd73