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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
Created
2018-05-16
34 commits to master branch, last one 2 years ago
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Created
2020-04-30
107 commits to master branch, last one about a year ago
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
Created
2021-07-25
300 commits to master branch, last one a day ago
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (c...
Created
2021-05-27
30 commits to main branch, last one about a year ago
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
Created
2019-06-04
18 commits to master branch, last one 6 months ago
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
Created
2020-10-21
47 commits to main branch, last one about a year ago
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
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Created
2021-07-30
28 commits to main branch, last one 4 months ago
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with...
Created
2020-11-03
30 commits to master branch, last one 2 years ago
A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification
Created
2022-02-19
8 commits to main branch, last one 2 years ago
EntroPy: complexity of time-series in Python (DEPRECATED)
Created
2018-10-16
106 commits to master branch, last one 3 years ago
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
Created
2024-07-19
63 commits to main branch, last one about a month ago
[TAFFC-2022] PyTorch implementation of TSception v2
Created
2021-10-15
41 commits to main branch, last one about a year ago
[TNNLS-2023] This is the PyTorch implementation of LGGNet.
Created
2022-01-05
31 commits to main branch, last one about a year ago
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)
Created
2022-01-18
29 commits to master branch, last one 2 years ago
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
Created
2021-05-16
29 commits to main branch, last one 2 years ago
Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble
Created
2021-02-18
19 commits to main branch, last one 3 years ago
A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning mode...
Created
2023-03-07
71 commits to main branch, last one 3 months ago
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
Created
2021-06-14
3 commits to main branch, last one about a year ago
Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG
Created
2021-10-23
117 commits to master branch, last one 3 months ago
source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)
Created
2021-05-17
37 commits to main branch, last one 2 years ago
EEG-Based Emotion Recognition
Created
2022-12-29
140 commits to IRIA-2021 branch, last one 5 months ago
PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware
Created
2022-05-30
6 commits to main branch, last one 2 years ago
Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析,使用python和DEAP数据集。
Created
2022-04-10
4 commits to main branch, last one 2 years ago
This is an official implementation for "Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG".
Created
2022-03-16
25 commits to main branch, last one 2 years ago
Developed TactileNet, the first deep-learning model designed for surface roughness recognition using EEG data. This project leverages CNNs to classify surface textures encountered through a robotic de...
Created
2022-07-27
3 commits to main branch, last one 2 years ago