In a different blog post, we studied the concept of a Variational Autoencoder (or VAE) in detail. The models, which are generative, can be used to manipulate datasets by learning the distribution of ...

This repository contains a deep-learning iteration of my anomaly detection project for elderly home surveillance, developed as part of my thesis internship for the Master in Data Analysis for Business ...

Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding fraudulent login events and fake news items. Take a look at the demo ...