Alternatives and similar repositories for CTNAS-EEG

Users that are interested in CTNAS-EEG are comparing it to the libraries listed below

• 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
• DingWenl / CNN-FormerWithEEG-ME
  CNN-Former model with EEG-ME for SSVEP classification (TNSRE)
  ☆13Updated last year
• AutoResearch / EEG-GAN
  ☆28Updated 2 months ago
• kolcs / bionic_apps
  ☆16Updated 9 months ago
• mcd4874 / NeurIPS_competition
  code for NeurIPS_competition
  ☆28Updated 3 years ago
• AniketRajpoot / Emotion-Recognition-Transformers
  SOTA methods for performing emotion classification using Transformers.
  ☆21Updated 2 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 6 years ago
• javiferfer / cross-subject-eeg-emotion-recognition-through-nn
  ☆31Updated 6 months ago
• chongwar / gnn-eeg
  Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.
  ☆55Updated 4 years ago
• WilliamRo / EEG-Denoise
  ☆19Updated 5 months ago
• CECNL / MAtt
  ☆66Updated 2 years ago
• gzoumpourlis / Ensemble-MI
  PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
  ☆17Updated last year
• KAZABANA / EEGMatch
  ☆37Updated 10 months 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 3 years ago
• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆72Updated 4 months ago
• maxxxzdn / EEGCN
  Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]
  ☆22Updated 3 years ago
• Want2Vanish / FBMSNet
  This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.
  ☆40Updated 2 years ago
• 1061413241 / MEET
  The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"
  ☆16Updated 3 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
• guangyizhangbci / EEG_Riemannian
  IEEE Transactions on Emerging Topics in Computational Intelligence
  ☆67Updated 5 months ago
• hancan16 / SST-DPN
  A Lightweight and High Performance Neural network for MI-EEG decoding
  ☆32Updated 6 months ago
• duanyiqun / Brain-Diffusion
  Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.
  ☆39Updated 2 years ago
• neerajwagh / eeg-self-supervision
  Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…
  ☆22Updated 2 years ago
• DevJake / EEG-diffusion-pytorch
  An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
  ☆46Updated 2 years ago
• Ma-Xinzhi / EEG-TransNet
  ☆25Updated 9 months ago
• numediart / Emotion-EEG
  Public Models considered for emotion estimation from EEG
  ☆34Updated 3 years ago
• EEGdecoding / Code-SBLEST
  Matlab code for SBLEST algorithm
  ☆44Updated last year
• MischaRauch / Stable_Diffusion_on_EEG_Signals
  Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification
  ☆22Updated 2 years ago
• sari-saba-sadiya / EEG-Channel-Interpolation-Using-Deep-Encoder-Decoder-Networks
  Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"
  ☆26Updated 3 years ago
• prajwalsingh / EEGStyleGAN-ADA
  Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]
  ☆44Updated last year