In order to use this package, please make sure that you have access to a GPU enabled runtime. This can be done easily with a conda environment, with the following ...
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 ...
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 ...
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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