Alternatives and similar repositories for EarEEG_KnowledgeDistillation

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

• UM-Tao / ADFCNN-MI
  ☆27Updated last month
• wjq-learning / SleepDG
  [AAAI 2024] Generalizable Sleep Staging via Multi-Level Domain Alignment
  ☆23Updated 4 months ago
• monshri / depression_identification
  A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks
  ☆26Updated 5 years ago
• flower-kyo / Tinysleepnet-pytorch
  TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG
  ☆30Updated 4 years ago
• CECNL / EEG-KD
  ☆11Updated 2 years ago
• ICLab4DL / GGN
  GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)
  ☆63Updated last year
• hancan16 / SST-DPN
  A Lightweight and High Performance Neural network for MI-EEG decoding
  ☆35Updated 7 months ago
• Jinminbox / PGCN
  PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
  ☆70Updated last year
• matt-houk / MB3DCNN
  Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…
  ☆18Updated 4 years ago
• AbbasSalami / EEG-ITNet
  ☆34Updated last year
• 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 4 years ago
• erinqhu / EEG-motor-imagery
  ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …
  ☆50Updated 4 years ago
• AI4HealthUOL / s4sleep
  Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
  ☆18Updated 2 years ago
• arkanivasarkar / EEG-Data-Augmentation-using-Variational-Autoencoder
  Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
  ☆46Updated 11 months ago
• guangyizhangbci / EEG_Riemannian
  IEEE Transactions on Emerging Topics in Computational Intelligence
  ☆68Updated 6 months 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 6 years ago
• wjq-learning / CareSleepNet
  [JBHI 2024] CareSleepNet: A Hybrid Deep Learning Network for Automatic Sleep Staging
  ☆12Updated 4 months ago
• doc-ycm / EEG-ATCNet-pytorch
  ☆21Updated 2 years ago
• kolcs / bionic_apps
  ☆16Updated 10 months ago
• ThreePoundUniverse / MACTN
  ☆17Updated 2 years ago
• WilliamRo / EEG-Denoise
  ☆19Updated 7 months ago
• 1061413241 / MEET
  The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"
  ☆17Updated 3 years ago
• javiferfer / cross-subject-eeg-emotion-recognition-through-nn
  ☆32Updated 7 months ago
• ycq091044 / ContraWR
  JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
  ☆50Updated 2 years ago
• numediart / Emotion-EEG
  Public Models considered for emotion estimation from EEG
  ☆34Updated 3 years ago
• zhangmingjian180 / TS-Transformer
  Emotion recognition base on EEG.
  ☆19Updated 2 years ago
• SheepTAO / MSVTNet
  MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding
  ☆28Updated 5 months ago
• wjq-learning / EEGMamba
  [Neural Networks 2025] EEGMamba: An EEG Foundation Model with Mamba
  ☆30Updated 2 weeks ago
• chongwar / gnn-eeg
  Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.
  ☆55Updated 4 years ago
• AniketRajpoot / Emotion-Recognition-Transformers
  SOTA methods for performing emotion classification using Transformers.
  ☆21Updated 3 years ago