This repo presents a simple auto encoder for time series. It visualizes the embeddings using both PCA and tSNE. I show this on a dataset of 5000 ECG's. The model doesn't use the labels during training ...

We then propose AER (Auto-encoder with Regression), a joint model that combines a vanilla auto-encoder and an LSTM regressor to incorporate the successes and address the limitations of each method.

Prediction based on time series has a wide range of applications. Due to the complex nonlinear and random distribution of time series data, the performance of learning prediction models can be reduced ...