The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Python implementation of k-Shape

Implementation and experiments of graph embedding algorithms.

TensorFlow Probability；Time series model

Estimate S-ARIMA-X models with Stochastic Gradient Descent or Kalman Filter

Minimal, clean example of lstm neural network training in python, for learning purposes.