Anomaly_Detect_LSTM_VAE

Keras implementation of LSTM-VAE model for anomaly detection

Anomaly_Detect_DAGMM

PyTorch implementation of Deep Autoencoding Gaussian Mixture Model (DAGMM)

Normalizing-Flows

PyTorch implementation of variational Bayesian neural network with normalizing flows

VAE_Julia

Julia implementation of Variational Auto Encoder (VAE) model

Anomaly_Detect_LSTM

The project is to show how to use LSTM autoencoder and Azure Machine Learning SDK to detect anomalies in time series data