eg: ./resized Once the dataset is prepared you can run the VAE on it by using the vae script, usage: vae.py [-h] --input INPUT --name NAME [--epoch EPOCH] [--batch BATCH] [--original_dim ORIGINAL_DIM] ...

Figure 1: Generating Synthetic Data Using a Variational Autoencoder This article assumes you have an intermediate or better familiarity with a C-family programming language, preferably Python, and a ...

This code is associated with the following paper: Xiaopeng Li and James She. Relational Variational Autoencoder for Link Prediction with Multimedia Data. ACM International Conference on Multimedia ...

Abstract: Autoencoder models of source code are an emerging alternative to autoregressive ... We propose a structured Variational Auto-Encoder based on TreeLSTM that operates directly on the AST. We ...

A Convolutional Variational Autoencoder (CVAE) was developed for this purpose. We demonstrate the efficacy of our approach using the transient data generated from the simulations. The simulation data ...