Autoencoders / Neural Networks and Deep Learning

Variational Autoencoder (VAE): How It Works, With PyTorch Code

25 October 2026

Variational Autoencoder (VAE): How It Works, With PyTorch Code

A variational autoencoder (VAE) is a generative neural network that learns to compress data into a small, smooth latent space and to generate new data from it. Like an ordinary…

Deforming Autoencoders (DAEs) – Learning Disentangled Representations

21 September 2018

Deforming Autoencoders (DAEs) – Learning Disentangled Representations

Generative Models are drawing a lot of attention within the Machine Learning research community. This kind of models has practical applications in different domains. Two of the most commonly used…

How Artificial Intelligence Can Help DJs Deliver a Seamless Mix

16 May 2018

How Artificial Intelligence Can Help DJs Deliver a Seamless Mix

It is a common and good practice among DJs to create and divide playlists by mood (aggressive, soulful, melancholy) and energy (slow, medium, fast) rather than by music genre. In…

Neural Network Compresses Images Without Loss Of Quality

24 April 2018

Neural Network Compresses Images Without Loss Of Quality

Graphical information requires a lot of storage resources, and the main task is to learn how to compress images without losing quality. Computer Vision Laboratory Solution A group of researchers…