By reconstructing the original data from the latent representation, the autoencoder can be used for dimensionality reduction, anomaly detection, and data visualization. Project Structure: encoder.py: ...

A Variational Autoencoder (VAE) is a type of generative model which can be used to reconstruct high-dimensional data points from a lower-dimensional latent space representation. This is done by using ...

The overall structure of the PyTorch autoencoder anomaly detection demo program, with a few minor edits to save space, is shown in Listing 3. I prefer to indent my Python programs using two spaces ...

It is widely used in voice modeling, clustering, and data augmentation applications. This research represents a versatile open-source python library (Pythae). This library’s main goal is to provide a ...