Alternatives and similar repositories for EEGCN

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

• High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classification
  Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper
  ☆37Updated 3 years ago
• neerajwagh / eeg-self-supervision
  Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…
  ☆21Updated 2 years ago
• CECNL / MAtt
  ☆66Updated last year
• chongwar / gnn-eeg
  Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.
  ☆54Updated 4 years ago
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆34Updated 2 years ago
• EEGdecoding / Code-SBLEST
  Matlab code for SBLEST algorithm
  ☆43Updated last year
• my94my / MT-MBCNN
  ☆9Updated last year
• WilliamRo / EEG-Denoise
  ☆19Updated 3 months ago
• DingWenl / CNN-FormerWithEEG-ME
  CNN-Former model with EEG-ME for SSVEP classification (TNSRE)
  ☆13Updated 10 months ago
• kolcs / bionic_apps
  ☆16Updated 7 months ago
• eeg-augmentation-benchmark / eeg-augmentation-benchmark-2022
  Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…
  ☆46Updated 2 years ago
• rmpeng / TIE-EEGNet
  Temporal information enhanced EEGNet
  ☆13Updated 2 years ago
• linkingct / gnn-deap-eeg
  http://www.eecs.qmul.ac.uk/mmv/datasets/deap/
  ☆28Updated 4 years ago
• sabinechen / SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning
  SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…
  ☆22Updated 2 years ago
• gzoumpourlis / Ensemble-MI
  PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
  ☆17Updated last year
• MedMaxLab / selfEEG
  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
  ☆55Updated last month
• AniketRajpoot / Emotion-Recognition-Transformers
  SOTA methods for performing emotion classification using Transformers.
  ☆21Updated 2 years ago
• ycq091044 / ContraWR
  JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
  ☆47Updated 2 years ago
• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆70Updated 2 months ago
• ABaldrati / AugmentBrain
  In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…
  ☆22Updated 4 years ago
• JohnBoxAnn / TSGL-EEGNet
  ☆9Updated 3 years ago
• exporl / spatial-focus-of-attention-csp-and-rgc
  MATLAB code to decode the spatial focus of auditory attention from EEG using common spatial pattern filters and Riemannian geometry-based…
  ☆24Updated 2 years ago
• mlberkeley / eeg-ssl
  Self-supervised learning for EEG
  ☆26Updated 4 years ago
• dberma02 / GAN_for_Synthetic_EEG_Data
  Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks
  ☆12Updated 5 years ago
• XueJiang16 / ssl-torch
  ☆38Updated 4 years ago
• Serpeve / EEGSym
  Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…
  ☆25Updated 2 years ago
• mcd4874 / NeurIPS_competition
  code for NeurIPS_competition
  ☆28Updated 3 years ago
• rkobler / TSMNet
  Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…
  ☆58Updated 2 years ago
• guangyizhangbci / EEG_Riemannian
  IEEE Transactions on Emerging Topics in Computational Intelligence
  ☆66Updated 3 months ago
• numediart / Attention-EEG
  ☆21Updated 2 years ago