# gumpy-Deep_learning

**Repository Path**: licy07/gumpy-Deep_learning

## Basic Information

- **Project Name**: gumpy-Deep_learning
- **Description**: Deep Learning Models for Hybrid Brain Computer Interfaces 
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-05-25
- **Last Updated**: 2021-05-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Deep Learning models for Brain Computer Interfaces
=================================================

This repository contains deep learning models that can be used to decode EEG and
EEG signals for brain computer interfaces (BCIs). Some of the models depend on
the functionality that is provided by ``gumpy``, a python toolbox that contains
several signal and feature processing routines that are commonly used for BCIs.


External Links
==============

* ``gumpy``: www.gumpy.org
* gumpy on github: https:/github.com/gumpy-hybridBCI/ 


gumpy-deeplearning core developers and contributors
======================================
* Zied Tayeb
* Nicolai Waniek, www.github.com/rochus
* Nejla Ghaboosi 
* Juri Fedjaev
* Leonard Rychly


License
=======

* All code in this repository is published under the MIT License.
  For more details see the LICENSE file.