Project Name	Stars	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Arl Eegmodels	622	2 years ago			6	other	Python
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Eeg Dl	563	a year ago	10	May 13, 2020	4	mit	Python
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Eeg Motor Imagery Classification Cnns Tensorflow	118	a year ago					Python
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
Sleepeegnet	106	3 years ago			13		Python
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Autosleepscorer	86	2 years ago			14	agpl-3.0	Python
An open-source sleep stage classification Python package
Tinysleepnet	76	8 months ago			3	apache-2.0	Python
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
Neurodoro	43	6 years ago			7	mit	Jupyter Notebook
:tomato: A dynamic brain-responsive pomodoro timer
Eeg_classification	37	4 years ago				apache-2.0	Python
EEG Sleep stage classification using CNN with Keras
Mneflow	31	7 months ago	4	May 19, 2022		bsd-3-clause	Python
Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.
Motor Imagery Tasks Classification Using Eeg Data	29	6 years ago			1		Jupyter Notebook
Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

Alternatives To Motor Imagery Tasks Classification Using Eeg Data

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Arl Eegmodels ⭐ 622

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

most recent commit 2 years ago

Eeg Dl ⭐ 563

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

total releases 10most recent commit a year ago

Eeg Motor Imagery Classification Cnns Tensorflow ⭐ 118

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

most recent commit a year ago

Sleepeegnet ⭐ 106

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

most recent commit 3 years ago

Autosleepscorer ⭐ 86

An open-source sleep stage classification Python package

most recent commit 2 years ago

Tinysleepnet ⭐ 76

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively

most recent commit 8 months ago

Neurodoro ⭐ 43

:tomato: A dynamic brain-responsive pomodoro timer

most recent commit 6 years ago

Eeg_classification ⭐ 37

EEG Sleep stage classification using CNN with Keras

most recent commit 4 years ago

Mneflow ⭐ 31

Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.

total releases 4most recent commit 7 months ago

Motor Imagery Tasks Classification Using Eeg Data ⭐ 29

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

most recent commit 6 years ago

Suggest An Alternative To Motor-Imagery-Tasks-Classification-using-EEG-data

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Motor Imagery Tasks Classification Using Eeg Data vs Arl Eegmodels

Motor Imagery Tasks Classification Using Eeg Data vs Eeg Dl

Motor Imagery Tasks Classification Using Eeg Data vs Eeg Motor Imagery Classification Cnns Tensorflow

Motor Imagery Tasks Classification Using Eeg Data vs Sleepeegnet

Motor Imagery Tasks Classification Using Eeg Data vs Autosleepscorer

Motor Imagery Tasks Classification Using Eeg Data vs Tinysleepnet

Motor Imagery Tasks Classification Using Eeg Data vs Neurodoro

Motor Imagery Tasks Classification Using Eeg Data vs Eeg_classification

Motor Imagery Tasks Classification Using Eeg Data vs Mneflow

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