Extending Timeseries with LSTM from forecasting to anomaly detection using seqeunce learning
Refer ts_model.py for detail imports and functions required to do end-to-end timeseries project.
timeseries_rest.py is a sample rest API file with various functions like summarizing data, training and prediction.
All sort of datasets in /index You can copy the one you want to experiment into /input models are save in /model graphs are saved in /images