This GitHub repository contains two directories : (1) variational autoencoder (VAE) and (2) denoising convolutional VAE (DCVAE). This contains programs for VAE and DCVAE models used in our work. For ...

You can either create a drum phrase or a melody. All you need to do is choose the type, output file location, variations, and temperature. The Generate app uses a Variational Autoencoder (VAE) that ...

The model takes the input and simultaneously feeds it into the quantum layer and the classical layer for parallel processing before combining the outputs of both layers to produce the final output ...

Figure 1: Overview of the Constrained Subspace Variational Autoencoder (CS-VAE). The latent space is divided in three parts: (1) the supervised latents decode the labeled body positions, (2) the ...

The -numout argument is an integer input for the number of sequences you want to produce. Here we are producing 10 examples. If you do not provide values for the two command line arguments the script ...

In this paper, we propose a Variational Bayesian Autoencoder (VBA)-based channel state information (CSI) compression and feedback scheme for massive multiple-input multiple-output (MIMO) systems. The ...