| vlawhern/arl-eegmodels |
622 |
|
0 |
0 |
almost 4 years ago |
0 |
|
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 |
| SuperBruceJia/EEG-DL |
563 |
|
0 |
0 |
about 3 years ago |
10 |
May 13, 2020 |
4 |
mit |
Python |
| A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow. |
| SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow |
118 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
|
Python |
| EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow |
| MousaviSajad/SleepEEGNet |
106 |
|
0 |
0 |
over 4 years ago |
0 |
|
13 |
|
Python |
| SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach |
| skjerns/AutoSleepScorer |
86 |
|
0 |
0 |
about 4 years ago |
0 |
|
14 |
agpl-3.0 |
Python |
| An open-source sleep stage classification Python package |
| akaraspt/tinysleepnet |
76 |
|
0 |
0 |
over 2 years ago |
0 |
|
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 |
| NeuroTechX/neurodoro |
43 |
|
0 |
0 |
about 8 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| :tomato: A dynamic brain-responsive pomodoro timer |
| CVxTz/EEG_classification |
37 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| EEG Sleep stage classification using CNN with Keras |
| zubara/mneflow |
31 |
|
0 |
0 |
over 2 years ago |
4 |
May 19, 2022 |
0 |
bsd-3-clause |
Python |
| Neural networks for EEG-MEG decoding with MNE-python and Tensorflow. |
| shariharan205/Motor-Imagery-Tasks-Classification-using-EEG-data |
29 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data |
