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PyEEGLab
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Grade
Name
Complexity
Churn
Issues
A
pyeeglab\pipeline\__init__.py
 1 -
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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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tests\test_tuh_eeg_abnormal.py
3 4 3
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tests\test_eegmmidb.py
3 4 3
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tests\test_tuh_eeg_artifact.py
3 5 3
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tests\test_chbmit.py
3 4 3
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tests\conftest.py
3 1 2
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pyeeglab\preprocess\signal\frequency_selector.py
3 3 -
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pyeeglab\dataset\annotation.py
4 1 1
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pyeeglab\preprocess\signal\channel_selector.py
4 3 -
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pyeeglab\dataset\physionet\utils.py
4 1 1
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pyeeglab\dataset\tuh_eeg\abnormal_dataset.py
4 1 -
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pyeeglab\dataset\tuh_eeg\artifact_dataset.py
4 1 -
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pyeeglab\dataset\tuh_eeg\seizure_dataset.py
4 1 -
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pyeeglab\preprocess\signal\filter_selector.py
6 3 -
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pyeeglab\dataset\physionet\chbmit_dataset.py
6 1 -
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pyeeglab\dataset\physionet\eegmmidb_dataset.py
7 1 -
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examples\tensorboard\example_tensorboard.py
14 2 2
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pyeeglab\preprocess\features\stat_features.py
14 4 -