GitHub

ti2ni1m/Image-Generation-with-Conditional-Variational-Autoencoder-C-VAE-and-Conditional-GAN-C-GAN-

In this project, I aim to create a set of images of Kuzushiji Japanese characters via the Kuzushiji-49 dataset using 2 graphical models which are Conditional-Variational Autoencoder(C-VAE), and ...
GitHub

meysam-omidy/Conditional-Variational-Autoencoder

This repository contains the implementation of a Conditional Variational Autoencoder (CVAE) model. CVAEs are an extension of Variational Autoencoders (VAEs) that allow for the generation of data ...
Europe PMC

ICVAE: Interpretable Conditional Variational Autoencoder for De Novo Molecular Design.

Recent studies have demonstrated that machine learning-based generative models can create novel molecules with desirable properties. Among them, Conditional Variational Autoencoder (CVAE) is a ...
IEEE

Conditional Generative Flow-Induced Variational Autoencoder for Plasma Instances Augmentation

Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...