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Deep learning with EEG

Project description

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dpeeg provides a complete workflow for deep learning decoding EEG tasks, including basic datasets (datasets can be easily customized), basic network models, model training, rich experiments, and detailed experimental result storage.

Usage

  1. Create a new virtual environment named "dpeeg" with Python >= 3.10 using Anaconda3 and activate it:
conda create --name dpeeg python
conda activate dpeeg
  1. dpeeg depends on Pytorch. Please refer to the corresponding official website for installation.

  2. Complete the installation via pip:

pip install dpeeg

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