Variational Inference

Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference featured image
Generative Adversarial Networks

Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference

We derive cycle-consistent adversarial learning (CycleGAN) as a special case of variational inference in a latent-variable model with implicit priors, establishing a Bayesian …

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Louis Tiao
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Bayesian Deep Learning

Aboleth

A minimalistic TensorFlow framework for scalable Bayesian deep learning

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

A Tutorial on Variational Autoencoders with a Concise Keras Implementation

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

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Louis Tiao
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Bayesian Statistics

revrand

A Python library for scalable Bayesian generalized linear models

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