Topic: eeg-classification Goto Github
Some thing interesting about eeg-classification
Some thing interesting about eeg-classification
eeg-classification,Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble
User: abhishek-iyer1
eeg-classification,Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)
Organization: aitrics
eeg-classification,Analyze and manipulate EEG data using PyEEGLab.
User: alessiozanga
eeg-classification,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 device in tactile trials.
User: aliamini93
Home Page: https://ieeexplore.ieee.org/document/9827406
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
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,PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware
Organization: combra-lab
eeg-classification,Towards Domain Free Transformer for Generalized EEG Pre-training
User: comojin1994
eeg-classification,A set of tools to analyze and create charts from Muse EEG devices.
User: digital-cinema-arts
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
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
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
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
eeg-classification,Machine learning for Anonymous detection of an alcoholic by EEG signals
User: ildaron
eeg-classification,Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG
User: ildaron
eeg-classification,Open-Source Brain-Computer Interface, ADS1299 and STM32
User: ildaron
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
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
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
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
eeg-classification,Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)
User: iobt-vistec
eeg-classification,Python implemementation of the FBCSP algorithm
User: jesus-333
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
eeg-classification,Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem
User: mauricio-ms
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
eeg-classification,code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
User: mikewangwzhl
eeg-classification,
Organization: multiscale-bci
Home Page: https://multiscale-bci.github.io/IV-2a/
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
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-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
eeg-classification,
User: raghav714
eeg-classification,EntroPy: complexity of time-series in Python (DEPRECATED)
User: raphaelvallat
Home Page: https://raphaelvallat.com/entropy/
eeg-classification,A general matlab framework for EEG data classification
User: rceballos98
eeg-classification,LSTM-based neural network system to predict EEG signals
User: rivasd
eeg-classification,Eye open and close classification using Machine Learning
User: shubhamverma1
eeg-classification,EEG-Based Emotion Recognition
User: shyammarjit
Home Page: https://ieeexplore.ieee.org/document/9588702
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-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-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
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-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-classification,Empirical wavelet transform (EWT) in Python
User: vrcarva
eeg-classification,A tensorflow implementation for EEGLearn
User: yangwangsky
eeg-classification,EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicate
User: yaxan
eeg-classification,[TNNLS-2023] This is the PyTorch implementation of LGGNet.
User: yi-ding-cs
eeg-classification,[TAFFC-2022] PyTorch implementation of TSception v2
User: yi-ding-cs
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
eeg-classification,Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
User: zabir-nabil
eeg-classification,A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification
User: zwcolin
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