Topic: eeg-classification Goto Github

👇 Here are 182 public repositories matching this topic...

abhishek-iyer1 / emotion-classifcation-eeg-seed-ensemble
eeg-classification,Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble
User: abhishek-iyer1
cnn deep-learning eeg-classification emotion-recognition ensemble-learning

aitrics / eeg_real_time_seizure_detection
eeg-classification,Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)
Organization: aitrics
eeg-classification signal-processing seizure-detection eeg time-series

alessiozanga / pyeeglab
eeg-classification,Analyze and manipulate EEG data using PyEEGLab.
User: alessiozanga
dataset preprocessing eeg eeg-signals-processing eeg-analysis eeg-classification eeg-data mne-python tensorflow keras

aliasvishnu / eegnet
eeg-classification,[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
User: aliasvishnu
eegnet pytorch eeg-analysis eeg-classification p300 brain-computer-interface convolutional-neural-networks bci speller

anilosmantur / brain-computer-interface-with-neurosky
eeg-classification,Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.
User: anilosmantur
eeg-classification brain-computer-interface

combra-lab / snn-eeg
eeg-classification,PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware
Organization: combra-lab
brain-computer-interface eeg eeg-classification loihi neuromorphic-computing pytorch spiking-neural-network

digital-cinema-arts / muse-analysis-tools
eeg-classification,A set of tools to analyze and create charts from Muse EEG devices.
User: digital-cinema-arts
eeg-analysis muse-headband eeg eeg-signals-processing eeg-classification eeg-headband

edw4rdyao / eeg_mi_dl
eeg-classification,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 models(reproduction and experiments).
User: edw4rdyao
cnn eeg mne-python braindecode moabb eeg-signals-processing gcn motor-imagery-classification bci bci-systems

eeyhsong / eeg-transformer
eeg-classification,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 (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.
User: eeyhsong
deep-learning attention-mechanism vit transformer attention common-spatial-pattern eeg eeg-classification physiological-signals

emadeldeen24 / attnsleep
eeg-classification,[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
User: emadeldeen24
Home Page: https://ieeexplore.ieee.org/document/9417097
sleep-staging sleep-stage-scoring sleep-stage-classification pytorch eeg-classification eeg self-attention attention

gist-ailab / iitnet-official
eeg-classification,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".
Organization: gist-ailab
deep-learning deep-neural-networks biosignals eeg-signals sleep-staging eeg-classification pytorch

ildaron / 3.eeg_recognation
eeg-classification,Machine learning for Anonymous detection of an alcoholic by EEG signals
User: ildaron
eeg eeg-signals eeg-analysis eeg-classification eeg-data eeg-signals-processing alcohol alcohol-eeg pass-filter eeg-dataset

ildaron / ironbci
eeg-classification,Open-Source Brain-Computer Interface, ADS1299 and STM32
User: ildaron
ads1299 eeg bci ironbci stm32 eeg-signals-processing eeg-signals eeg-classification eeg-headset eeg-data bci-systems bci-homework

iobt-vistec / decoding-eeg-during-ao-mi-me
eeg-classification,The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)
User: iobt-vistec
bci eeg-classification eeg-data eeglab motor-imagery

iobt-vistec / eegwavenet
eeg-classification,source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)
User: iobt-vistec
ai cnn convolutional-neural-networks deep-learning eeg eeg-classification healthcare machine-learning pytorch seizure wavelet

iobt-vistec / metasleeplearner
eeg-classification,Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)
User: iobt-vistec
convolutional-neural-networks deep-learning eeg eeg-classification maml meta-learning pre-trained-model sleep-stage-classification transfer-learning

iobt-vistec / min2net
eeg-classification,End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
User: iobt-vistec
Home Page: https://min2net.github.io
ae autoencoder bci brain-computer-interface deep-learning deep-metric-learning dml eeg eeg-classification machine-learning multi-task-learning

iobt-vistec / pre-trained-eeg-for-deep-learning
eeg-classification,Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)
User: iobt-vistec
brain-computer-interface deep-learning eeg eeg-classification erp event-related-potentials machine-learning p300-speller pre-trained-model pre-training transfer-learning

jesus-333 / fbcsp-python
eeg-classification,Python implemementation of the FBCSP algorithm
User: jesus-333
csp eeg eeg-analysis eeg-classification fbcsp fbcsp-python machine-learning

matlab-deep-learning / abnormal-eeg-signal-classification-using-cnns
eeg-classification,This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
Organization: matlab-deep-learning
deep-learning matlab open-data open-science eeg-classification eeg-data convolutional-neural-networks scinet neuroscience matlab-deep-learning

mauricio-ms / motor-imagery
eeg-classification,Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem
User: mauricio-ms
bci biomedical-signal-processing brain-computer-interface csp eeg eeg-classification eeg-signals fbcsp fractal-dimension katz-fractal-dimension mi-bci motor-imagery motor-imagery-classification scssp subject-independent-bci

mexsonfernandes / eeg-controlled-robot-using-neurosky-mindwave-mobile2
eeg-classification,Mobile Robot controlled using Neurosky Mindwave headset. This repository contains the data collection and robot control scripts developed using C#. Features of the data has been extracted using EMD and HHT formulaes.
User: mexsonfernandes
neurosky-mindwave-headset neurosky mindwave-headset arduino eeg-signals eeg-classification mobile-robot robomex

mikewangwzhl / eeg-to-text
eeg-classification,code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
User: mikewangwzhl
bart bert brain-computer-interface eeg-classification eeg-signals language language-model sentiment-analysis

multiscale-bci / iv-2a
eeg-classification,
Organization: multiscale-bci
Home Page: https://multiscale-bci.github.io/IV-2a/
bci eeg-signals eeg-classification multiclass-classification riemannian svm csp

neerajwagh / eeg-gcnn
eeg-classification,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 an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
User: neerajwagh
graph-neural-networks eeg-classification eeg-signals-processing deep-learning machine-learning eeg eeg-signals convolutional-network eeg-gcnn neurips

neerajwagh / eeg-self-supervision
eeg-classification,Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
User: neerajwagh
eeg self-supervised-learning self-supervision multi-task-learning representation-learning deep-learning biosignals convolutional-neural-networks domain-driven-design electroencephalogram

pbizopoulos / signal2image-modules-in-deep-neural-networks-for-eeg-classification
eeg-classification,
User: pbizopoulos
arxiv deep-neural-networks eeg-classification pytorch embc paper signal2image

pi-eeg / eeg-with-jetsonnano
eeg-classification,Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG (In progress)
Organization: pi-eeg
eeg eeg-classification jetson-nano bci emg nvidia

piyush-bhardwaj / eeg-based-emotion-analysis-using-deap-dataset-for-supervised-machine-learning
eeg-classification,This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.
User: piyush-bhardwaj
deap-dataset eeg-classification knn-classification machine-learning supervised-learning svm-classifier

raghav714 / eeg-emotion-classification
eeg-classification,
User: raghav714
eeg-classification eeg-data eeg-signals-processing emotion-recognition

raphaelvallat / entropy
eeg-classification,EntroPy: complexity of time-series in Python (DEPRECATED)
User: raphaelvallat
Home Page: https://raphaelvallat.com/entropy/
entropy entropy-bits python permutation-entropy signal-processing eeg-analysis biosignals neuroscience complexity eeg

rasoulghaznavi / mlseed
eeg-classification,Emotion Recognition using ML methods on the SEED dataset
User: rasoulghaznavi
machine-learning machine-learning-algorithms data-science eeg-classification seed-dataset python jupyter-notebook anaconda

rceballos98 / eeg_classifier
eeg-classification,A general matlab framework for EEG data classification
User: rceballos98
classification eeg-classification classification-framework svm svm-classifier eeg

rivasd / eeglstm
eeg-classification,LSTM-based neural network system to predict EEG signals
User: rivasd
eeg-classification keras

shubhamverma1 / eeg-signal-classification
eeg-classification,Eye open and close classification using Machine Learning
User: shubhamverma1
eeg eeg-classification eeg-signals python-3

shyammarjit / eeg-emotion-recognition
eeg-classification,EEG-Based Emotion Recognition
User: shyammarjit
Home Page: https://ieeexplore.ieee.org/document/9588702
brain-computer-interface deep-learning eeg-classification eeg-signals-processing emotion-recognition machine-learning genetic-algorithm optimization-algorithms

ssaket / eeg-pipeline
eeg-classification,End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python
User: ssaket
Home Page: https://ssaket.github.io/eeg-pipeline/
eeg eeg-pipeline encoder-decoder eeg-analysis eeg-classification eeg-preprocessing mass-univariate-analysis

superbrucejia / eeg-bayesiancnn
eeg-classification,This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
User: superbrucejia
Home Page: https://github.com/SuperBruceJia/EEG-BayesianCNN
eeg eeg-signals eeg-classification bayesian bayesian-methods bayesian-convnets bayesian-inference pytorch-implementation eeg-signals-classification bayesian-cnns

superbrucejia / eeg-dl
eeg-classification,A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
User: superbrucejia
Home Page: https://www.nitrc.org/projects/eeg_dl_library
deep-learning eeg-classification eeg-signals-processing tensorflow motor-imagery-classification eeg-data cnn rnn gcn one-shot-learning

superbrucejia / eeg-motor-imagery-classification-cnns-tensorflow
eeg-classification,EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
User: superbrucejia
Home Page: https://iopscience.iop.org/article/10.1088/1741-2552/ab4af6/meta
eeg-data motor-imagery-tasks cnns convolutional-neural-networks esi tensorflow python eeg eeg-signals eeg-analysis

vlawhern / arl-eegmodels
eeg-classification,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
User: vlawhern
eeg deep-learning convolutional-neural-networks keras tensorflow brain-computer-interface eeg-classification time-series-classification event-related-potentials sensory-motor-rhythm

vrcarva / ewtpy
eeg-classification,Empirical wavelet transform (EWT) in Python
User: vrcarva
eeg-classification eeg-signals-processing ewt pypi-package python seizure-detection seizure-prediction signal-processing wavelet-decomposition

yangwangsky / tf_eeglearn
eeg-classification,A tensorflow implementation for EEGLearn
User: yangwangsky
deep-learning convolutional-neural-networks long-short-term-memory eeg-classification

yangwangsky / tf_eegnet
eeg-classification,It's a tensorflow implemention for EEGNet
User: yangwangsky
convolutional-neural-networks eeg-classification tensorflow

yaxan / eeg-gaming-and-speech
eeg-classification,EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicate
User: yaxan
bci-systems brain-computer-interface eeg-classification eeg-signals-processing raspberry-pi

yi-ding-cs / lgg
eeg-classification,[TNNLS-2023] This is the PyTorch implementation of LGGNet.
User: yi-ding-cs
deep-learning eeg-classification graph-neural-networks

yi-ding-cs / tsception
eeg-classification,[TAFFC-2022] PyTorch implementation of TSception v2
User: yi-ding-cs
cnn multi-scale-model eeg-classification emotion-recognition

z-fran / deap-eeg-emotion-analyse-and-classify
eeg-classification,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。
User: z-fran
deap-dataset eeg-analysis eeg-classification emotion-analysis

zabir-nabil / eeg-rsenet
eeg-classification,Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
User: zabir-nabil
eeg classification neural-net biosignal signal-classification rse-net random-subspace-ensemble eeg-classification eeg-matlab matlab-eeg-classification

zwcolin / eeg-transformer
eeg-classification,A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification
User: zwcolin
eeg-classification bci vit transformer