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Official Implementation of the MultiPatchFormer: A multiscale model for multivariate time series forecasting

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MultiPatchFormer

Official Implementation of the MultiPatchFormer: A multiscale model for multivariate time series forecasting

Link of the paper: https://www.nature.com/articles/s41598-024-82417-4

Alt text

Results: Results Table

🚀 Usage

  1. Clone the Repository git clone https://github.com/bioinfoUQAM/MultiPatchFormer.git cd MultiPatchFormer

  2. Set Up the Environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt

  3. Download the datasets and put it in the \data folder

  4. Run the Model Execute the training script using the provided shell scripts. For example: bash scripts/weather.sh

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Official Implementation of the MultiPatchFormer: A multiscale model for multivariate time series forecasting

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