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Assorted notebooks and machine learning models based on Brain-Computer Interfaces (BCI) and Electroencephalography (EEG) for the purpose of understanding and developing BCI and EEG applications.

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BCI-EEG-Research

Assorted notebooks and machine learning models based on Brain-Computer Interfaces (BCI) and Electroencephalography (EEG) for the purpose of understanding and developing BCI and EEG applications.

Running the Notebooks

To run the notebooks locally, you will need to install the required packages. You can do this with Anaconda by running the following command in the terminal:

conda create --name <env> --file requirements.txt
conda activate <env>

Replace <env> with the name of the environment you want to create.

Google Colab

You can also run the notebooks in Google Colab. Each notebook will have a link to open it in Colab at the top of the notebook.

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Assorted notebooks and machine learning models based on Brain-Computer Interfaces (BCI) and Electroencephalography (EEG) for the purpose of understanding and developing BCI and EEG applications.

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