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 ...
git clone https://github.com/Jaywalk18/CMAE-Contrastive-Manifold-Autoencoder.git cd CMAE-Contrastive-Manifold-Autoencoder conda create -n cmae python=3.10 conda ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results