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Update README.md
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Kearlay authored Sep 26, 2018
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Expand Up @@ -64,11 +64,10 @@ Python Modules (HPC version):

filename | description
----------------------------------|------------------------------------------------------------------------------------
eeg_preprocessing.py | This contains useful preprocessing steps to implement spatio-temporal pattern recognition on raw eeg data. Based on Scikit-learn and MNE pacakges.
eeg_preprocessing.py | Preprocessing steps to implement spatio-temporal pattern recognition on raw eeg data. Based on Scikit-learn and MNE pacakges.
eeg_import.py | Functions defined to extract data from .edf file format using MNE package.
eeg_data_downloads.py | Executing this code will generate folders and start downloading PhysioNet data into them.
eeg_eval.py | Evaluation of the model based on the history file. - calls the confusion matrix, loss, and accuracy.
eeg_prepare.py | Preprocess the imported EEG data.
gpu_training.sh | Send the eeg_main.py script to the computational nodes. Enter 'sbatch gpu_trainin.sh' on Habanero HPC.


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