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PyEEGLab
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Grade
Name
Complexity
Churn
Issues
A
setup.py
 30 -
A
pyeeglab\__init__.py
 24 -
C
pyeeglab\dataset\dataset.py
50 10 4
A
pyeeglab\dataset\__init__.py
 8 -
A
.travis.yml
 7 -
A
examples\tuh_eeg_abnormal\example_gat_lstm_classification.py
 7 -
A
examples\tuh_eeg_abnormal\example_gat_lstm_classification_with_filter.py
 7 -
A
examples\tuh_eeg_abnormal\example_cnn_dense_classification_with_filter.py
 6 -
A
examples\tuh_eeg_abnormal\example_cnn_dense_classification.py
 6 -
A
examples\tuh_eeg_abnormal\example_cnn_lstm_classification.py
 6 -
A
examples\tuh_eeg_abnormal\example_cnn_lstm_classification_with_filter.py
 6 -
A
pyeeglab\preprocess\features\brain_connectivity.py
20 5 -
A
tests\test_tuh_eeg_artifact.py
3 5 3
A
pyeeglab\dataset\tuh_eeg\__init__.py
 4 -
A
pyeeglab\preprocess\features\stat_features.py
14 4 -
A
tests\test_tuh_eeg_abnormal.py
3 4 3
A
tests\test_eegmmidb.py
3 4 3
A
tests\test_chbmit.py
3 4 3
A
pyeeglab\preprocess\transform\data_converter.py
14 4 -
A
pyeeglab\preprocess\signal\normalization.py
2 3 -