This is the repo for a time-series classification model based on the transformer architecture. It uses a number of different encoder blocks to perform classification on a timeseries dataset. Linear attention works but windowed attention is not properly implemented.
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Transformer model for timeseries classification with different attention mechanisms
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taihim/timeseries-transformer
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Transformer model for timeseries classification with different attention mechanisms
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