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dpeeg
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Deep Learning with EEG.
Download README (.md)
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Download README
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README.md
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dpeeg
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Download (.md)
 [](https://pypi.org/project/dpeeg/) [](https://doi.org/10.5281/zenodo.13989420) [](https://dpeeg.readthedocs.io/stable/?badge=stable) [](https://opensource.org/licenses/MIT) [](https://github.com/psf/black) **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. # Installation 1. Create a new virtual environment named "dpeeg" with [Python](https://www.python.org/) >= 3.10 using Anaconda3 and activate it： ```Shell conda create --name dpeeg python conda activate dpeeg ``` 2. dpeeg depends on [Pytorch](https://pytorch.org/). Please refer to the corresponding official website for installation. 3. Complete the installation via `pip`: ```Shell pip install dpeeg ``` # How to cite If you would like to cite dpeeg you can do so using our [Zenodo deposit](https://zenodo.org/records/13989420).
