Common use-cases include data visualization in a 2D graph (if the data is reduced to just two columns instead of the six columns in the demo), use in machine learning ... Neural Autoencoders The ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs ... and PyTorch ...