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PyEEGLab
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Grade
Name
Complexity
Churn
Issues
A
pyeeglab\pipeline\__init__.py
 1 -
A
pyeeglab\dataset\tuh_eeg\utils.py
15 1 3
A
pyeeglab\dataset\tuh_eeg\seizure_dataset.py
4 1 -
A
pyeeglab\dataset\tuh_eeg\artifact_dataset.py
4 1 -
A
pyeeglab\dataset\tuh_eeg\abnormal_dataset.py
4 1 -
A
pyeeglab\dataset\tuh_eeg\__init__.py
 4 -
A
pyeeglab\dataset\physionet\utils.py
4 1 1
A
pyeeglab\dataset\physionet\eegmmidb_dataset.py
7 1 -
A
pyeeglab\dataset\physionet\chbmit_dataset.py
6 1 -
A
pyeeglab\dataset\physionet\__init__.py
 1 -
A
pyeeglab\dataset\metadata.py
 1 -
A
pyeeglab\dataset\file.py
2 1 -
A
pyeeglab\dataset\declarative_base.py
 1 -
C
pyeeglab\dataset\dataset.py
50 10 4
A
pyeeglab\dataset\annotation.py
4 1 1
A
pyeeglab\dataset\__init__.py
 8 -
A
pyeeglab\__init__.py
 24 -
A
examples\tuh_eeg_abnormal\example_gat_lstm_classification_with_filter.py
 7 -
A
examples\tuh_eeg_abnormal\example_gat_lstm_classification.py
 7 -
A
examples\tuh_eeg_abnormal\example_cnn_lstm_classification_with_filter.py
 6 -