Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...
This folder collects the core code and minimal references needed to understand and reproduce my 2025 honours work on non-linear reduced-order modelling of PDEs using autoencoders and POD/FEM ...
description: "13.1 Autoencoder: Starting with Compression and Reconstruction" title: "13.1 AutoEncoder: Starting with Compression and Reconstruction" order: 1 Before formally entering VAE (Variational ...
Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
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