Alternatives and similar repositories for CogniNET

Users that are interested in CogniNET are comparing it to the libraries listed below

• AliAbyaneh / Extracting-Image-from-EEG-signals
  ☆41Updated 5 years ago
• tiehangd / MUPS-EEG
  Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
  ☆42Updated 2 years ago
• deepBrains / TSception
  PyTorch implementation of TSception
  ☆79Updated 2 years ago
• javiferfer / cross-subject-eeg-emotion-recognition-through-nn
  ☆31Updated 6 months ago
• mjmnzg / Custom-Domain-Adaptation
  Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition
  ☆15Updated 4 years ago
• pbizopoulos / signal2image-modules-in-deep-neural-networks-for-eeg-classification
  ☆21Updated 2 weeks ago
• tczhangzhi / PyTorch-GANSER
  Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"
  ☆74Updated 3 years ago
• xiangzhang1015 / EEG_Shape_Reconstruction
  Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.
  ☆21Updated 3 years ago
• XueJiang16 / ssl-torch
  ☆38Updated 4 years ago
• numediart / EEGLearn-Pytorch
  ☆131Updated 2 years ago
• cuijiancorbin / EEG-based-Cross-Subject-Driver-Drowsiness-Recognition-with-an-Interpretable-CNN
  Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…
  ☆21Updated 3 years ago
• cuijiancorbin / A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
  In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…
  ☆27Updated 3 years ago
• mlberkeley / eeg-ssl
  Self-supervised learning for EEG
  ☆26Updated 5 years ago
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆36Updated 2 years ago
• zhongpeixiang / RGNN
  The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"
  ☆206Updated 4 years ago
• tevisgehr / EEG-Classification
  This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
  ☆218Updated 7 years ago
• guangyizhangbci / EEG_Riemannian
  IEEE Transactions on Emerging Topics in Computational Intelligence
  ☆67Updated 5 months ago
• pbashivan / EEG_CNN
  Python code for mental state recognition from EEG observations using CNN and RNN networks.
  ☆34Updated 9 years ago
• vancleys / EEGFeatures
  EEG Features to be extract from raw data.
  ☆27Updated 8 years ago
• SPOClab-ca / BENDR
  ☆196Updated 3 years ago
• pquochuy / sleep_transfer_learning
  Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
  ☆48Updated last year
• chamwen / MEKT
  Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)
  ☆46Updated 4 years ago
• dfreer15 / DeepEEGDataAugmentation
  Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…
  ☆30Updated 5 years ago
• Arka95 / Human-Emotion-Analysis-using-EEG-from-DEAP-dataset
  Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…
  ☆130Updated 5 years ago
• basel-shehabi / EEG-Synthetic-Data-Using-GANs
  This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…
  ☆51Updated 5 years ago
• dav0dea / eeg-transformer
  Analysis of Transformer attention in EEG signal classification
  ☆45Updated last year
• dalinzhang / CRAM
  ☆22Updated 5 years ago
• CECNL / MAtt
  ☆66Updated 2 years ago
• robintibor / braindecode
  Moved to https://github.com/TNTLFreiburg/braindecode!
  ☆66Updated 5 years ago
• emadeldeen24 / ADAST
  [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
  ☆38Updated 2 years ago