EOGLearn: A Machine Learning Library for Denoising EOG artifact from EEG data

EOGLearn is a python package for denoising EOG artifact from EEG data. It currently requires the user to have simultaneously collected EEG and Eye-tracking data. This project is in the proof-of-concept stage, and contributions are very much welcome! Please see the contributing section or the Roadmap for details on how to get involved.

Contents:

• Installing EOGLearn
• Model Implementation
• API Reference
• eog-learn Tutorials
• Contributing Guide