Deep Learning

Probabilistic Machine Learning in the Age of Deep Learning: New Perspectives for Gaussian Processes, Bayesian Optimization and Beyond (PhD Thesis) featured image

Probabilistic Machine Learning in the Age of Deep Learning: New Perspectives for Gaussian Processes, Bayesian Optimization and Beyond (PhD Thesis)

We explore the intersection of deep learning and probabilistic machine learning, addressing limitations of Gaussian processes in comparison to neural networks and proposing …

avatar
Louis Tiao
GPflux featured image

GPflux

A TensorFlow/Keras framework for Deep Gaussian Processes

AutoGluon

An AutoML toolkit for deep learning

Aboleth

A minimalistic TensorFlow framework for scalable Bayesian deep learning

A Tutorial on Variational Autoencoders with a Concise Keras Implementation featured image

A Tutorial on Variational Autoencoders with a Concise Keras Implementation

We give an in-depth practical guide to variational autoencoders from a probabilistic perspective.

avatar
Louis Tiao