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

Last update: Nov 21, 2022

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Deep Learning Pytorch-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

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