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PyEEGLab
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Complexity
Churn
Issues
A
pyeeglab\dataset\tuh_eeg\artifact_dataset.py
4 1 -
A
pyeeglab\dataset\tuh_eeg\seizure_dataset.py
4 1 -
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tests\test_tuh_eeg_artifact.py
3 5 3
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tests\test_tuh_eeg_abnormal.py
3 4 3
A
tests\test_eegmmidb.py
3 4 3
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tests\conftest.py
3 1 2
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tests\test_chbmit.py
3 4 3
A
pyeeglab\preprocess\signal\frequency_selector.py
3 3 -
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pyeeglab\dataset\file.py
2 1 -
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pyeeglab\preprocess\signal\normalization.py
2 3 -
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pyeeglab\dataset\__init__.py
 8 -
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pyeeglab\preprocess\__init__.py
 1 -
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pyeeglab\preprocess\features\__init__.py
 1 -
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examples\tuh_eeg_abnormal\example_cnn_dense_classification.py
 6 -
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pyeeglab\dataset\declarative_base.py
 1 -
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pyeeglab\preprocess\signal\__init__.py
 1 -
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examples\tuh_eeg_abnormal\example_cnn_dense_classification_with_filter.py
 6 -
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pyeeglab\dataset\metadata.py
 1 -
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.travis.yml
 7 -
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examples\tuh_eeg_abnormal\example_cnn_lstm_classification.py
 6 -