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Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

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Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction based off this blog post by Chandler Zuo. I've extended the code to work for multi-variate time-series and added some pre-processing, but given I'm basically copying the code from his post, the copyright probably belongs to him.

The most recent branch, which uses the PyTorch JIT, is called jit.

There is a different implementation by Zhenye-Na, but from what I can tell, it's only single-variate.

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