federicobergamin/Ladder-Variational-Autoencoders

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Python
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Created about 5 years ago
Updated almost 5 years ago

federicobergamin/Ladder-Variational-Autoencoders

federicobergamin

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Personal implementation of "Ladder Variational Autoencoders" by [Sønderby, et al., 2016] (LVAE) in PyTorch

Variational-Inference-with-Normalizing-Flows

Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch

riemannian-laplace-approximation

Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"

Gaussian-Process-demo

Interactive Gaussian Process demo, useful for live demonstration when teaching Gaussian Processes.

model-agnostic-ood

Code for the paper "Model-agnostic out-of-distribution detection using combined statistical tests" (AISTATS 2022)

Variational-Autoencoders-in-Julia

Implementation of "Auto-Encoding Variational Bayes" by Kingma and Welling, 2014 in Julia [VAE in Julia]. Still working on it.

Variational-Autoencoders

Personal implementation of a simple VAE in PyTorch as described in "Auto-Encoding Variational Bayes" [Kingma, Welling, 2014]

MIWAE-PyTorch

PyTorch implementation of MIWAE