1 It is an implement of the following paper by tensorflow: A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. 2 How to use: First, run the file generation_signature_matrice.py to generate signature matrice. Second, run the file convlstm.py to train and test the model. Finally, run the file evalution.py to evalute the result. 3 The demo code provide by the author: https://github.com/7fantasysz/MSCRED.
leonnewton/MSCRED
tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Python