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 ...

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 ...

For an autoencoder anomaly detection system, model overfitting is characterized by a situation where all reconstructed inputs match the source inputs very closely, and therefore all reconstruction ...

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 ...