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 ...
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 ...
git clone https://github.com/Jaywalk18/CMAE-Contrastive-Manifold-Autoencoder.git cd CMAE-Contrastive-Manifold-Autoencoder conda create -n cmae python=3.10 conda ...
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 ...
Ever heard of an autoencoder, wondered what it was, or how to use it? My colleague Niharika Bangur and I worked on this article about it together. If you don't have time to read this whole thing, here ...
Built and deployed a Python-based anomaly detection tool for predictive maintenance, combining Isolation Forest and Autoencoder models to identify outliers in sensor data via unsupervised techniques.
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