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mlpotter/Transformer_Time_Series

A Jupyter Notebook implementation of Transformer architecture for time series forecasting based on a 2019 NeurIPS paper.

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The repository replicates the locality-enhanced Transformer model from the 2019 NeurIPS paper for time series forecasting. It provides a teacher-forced training implementation with attention visualization capabilities and validates results on synthetic datasets. The project includes LSTM baselines for comparison and produces learning curves and validation examples.

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