PyTorch Autoencoders - Implementing a Variational Autoencoder (VAE) Series in Pytorch.

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Deep LearningPytorch-AutoEncoders
Overview

PyTorch Autoencoders

Implementing a Variational Autoencoder (VAE) Series in Pytorch.

Inspired by this repository

Model List

check model paper conference
O VAE Auto-Encoding Variational Bayes ICLR 2014
O CVAE Learning Structured Output Representation using Deep Conditional Generative Models NeurIPS 2015
O AAE Adversarial Autoencoder ICLR 2016
O Beta-VAE β-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework ICLR 2017
VQ-VAE Neural Discrete Representation Learning NeurIPS 2017

Result

TBD

Contact

If you have any question about the code, feel free to email me at [email protected].

Owner
Subin An
Human-Computer Interaction
Subin An
GitHub Repository
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