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Deep Switching Auto-Regressive Factorization (DSARF)

This repository is a user-friendly pytorch implementation of our AAAI'21 paper: Deep switching auto-regressive factorization. DSARF performs switching dynamical systems modeling.

This notebook includes several examples of using DSARF for short- and long-term forecasting and dynamical state estimation.

Also, check this notebook for DSARF documentation and model overview.

To access older version of our code see DSARF_v0.0.

Dependencies:

Pytorch, Numpy, Scipy, Matplotlib

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