EEG-ML

High precision classification of brainwaves.

EEG-ML is a proof of concept for high precision classification of movement associated brainwaves.

⭐

Processing pipeline from EDF files to multi-class classification.

Conceptualized for ease of use and extendability.

🧠

Models are validated 10 times by default to ensure stability.

🔧

High testing coverage to ensure the reliability of the project. You can trust the output.

❤‍🔥

EEG-ML is open source and free. Fork or make a PR or request a missing feature.

🚀

Optimized processing of large batches of EEG data.

🐳

Docker makes it easy to install and run EEG-ML in a few minutes.

📦

EEG-ML is designed to be flexible and support a wide range of EEG data.

📖

Are you new to EEG processing? Start with the documentation to get familiar with the project or with the concepts.

🫂

Feel free to make a new issue and ask for help if needed.