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TVMixer

Temporal Variate Mixing

TVMixer is a powerful tool for temporal data analysis that incorporates variate mixing techniques to enhance model performance across time-series forecasting tasks. This project aims to provide efficient and accurate time-series predictions by leveraging advanced temporal modeling techniques.

Features

  • Temporal Variate Mixing: Applies variate dimension mixing to improve prediction accuracy by capturing complex temporal relationships.
  • Scalability: Incorporates multi-scale temporal pattern analysis.

Requirements and Running the Code

Make sure to install the required Python packages and then run the code with the following commands:

pip install -r requirements.txt
bash ./TVMixer.sh

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