MedMaxLab/selfEEG
selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
SelfEEG helps researchers and data scientists working with brainwave data to build and fine-tune self-supervised learning models. It takes raw or lightly preprocessed Electroencephalography (EEG) data as input and produces trained deep learning models capable of tasks like classification or anomaly detection without extensive manual labeling. This is ideal for those specializing in neuroscience, medical research, or brain-computer interfaces.
No commits in the last 6 months. Available on PyPI.
Use this if you need to develop and experiment with self-supervised learning pipelines for EEG signals, leveraging various deep learning models and data augmentation techniques.
Not ideal if your primary need is extensive preprocessing of raw EEG data, as it focuses on the machine learning pipeline rather than initial signal cleaning.
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71
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13
Language
Python
License
MIT
Category
Last pushed
Jun 12, 2025
Commits (30d)
0
Dependencies
5
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