This repository contains data and codes for Cage-VAE in our paper Deep generative design of porous organic cages via a variational autoencoder. In this work, we present a VAE model, Cage-VAE, for the ...

Besides, this paper discusses Some properties of Variational autoencoder models, provides a reference for improving generative models, and explains the principle of Variational autoencoder. It is ...

This project focuses on deep generative models and their ability to model the probability distribution of the data. It consists of two parts: VAE (Variational Autoencoder) and AAE (Adversarial ...

A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...