variational-autoencoders topic

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

clementchadebec

A PyTorch implementation of alpha-GAN

yjchoe

An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.

dhanushkamath

An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.

ericmjl

Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.

guglielmocamporese

Transfer learning for flight-delay prediction via variational autoencoders in Keras

cavaunpeu

PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]

yjlolo

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution...

meiyulee

implement Deep Feature Consisten Variational Autoencoder in Tensorflow

sbavon

Deep active inference agents using Monte-Carlo methods

zfountas