A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explana…

AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

Detecting Anomalies in a patient heartbeat (Electrocardiogram Data) using LSTM Autoencoder