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Search results for python eeg classification
eeg-classification
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python
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31 search results found
Arl Eegmodels
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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
Eeg Dl
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563
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Eeg Motor Imagery Classification Cnns Tensorflow
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118
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
Attnsleep
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113
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
Eeg To Text
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99
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
Eeg Transformer
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79
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.
Eeg Gcnn
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56
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.
Tsception
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49
[TAFFC-2022] PyTorch implementation of TSception v2
Tf_eeglearn
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43
A tensorflow implementation for EEGLearn
Lgg
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32
[TNNLS-2023] This is the PyTorch implementation of LGGNet.
Eeg_real_time_seizure_detection
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32
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
Muse Analysis Tools
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31
A set of tools to analyze and create charts from Muse EEG devices.
Eeg Based Emotion Analysis Using Deap Dataset For Supervised Machine Learning
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25
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.
Fbcsp Python
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25
Python implemementation of the FBCSP algorithm
Iv 2a
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23
Ewtpy
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20
Empirical wavelet transform (EWT) in Python
Eeg Transformer
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19
A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification
Signal2image Modules In Deep Neural Networks For Eeg Classification
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19
Eeg Gaming And Speech
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18
EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicate
Min2net
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17
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
Eeg Self Supervision
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15
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!
Brain Powered
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12
With the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.
Tf_eegnet
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11
It's a tensorflow implemention for EEGNet
Pyeeglab
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10
Analyze and manipulate EEG data using PyEEGLab.
Eeg Pipeline
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9
End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python
T Bear
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8
Detect EEG artifacts, outliers, or anomalies using supervised machine learning.
Ctnas Eeg
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7
Code for Cross-Task Neural Architecture Search for EEG Signals
Iitnet Official
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7
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".
3.eeg_recognation
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6
Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism
Csp Python
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6
Python implementation of the CSP algorithm
Eegwavenet
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6
source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)
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