Alternatives and similar repositories for CTNAS-EEG

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

• AutoResearch / EEG-GAN
  ☆27Updated 2 months ago
• gzoumpourlis / Ensemble-MI
  PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
  ☆17Updated last year
• 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 11 months ago
• AniketRajpoot / Emotion-Recognition-Transformers
  SOTA methods for performing emotion classification using Transformers.
  ☆21Updated 2 years ago
• chongwar / gnn-eeg
  Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.
  ☆54Updated 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
• 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
• Want2Vanish / FBMSNet
  This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.
  ☆39Updated 2 years ago
• CECNL / MAtt
  ☆66Updated 2 years ago
• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆72Updated 4 months ago
• EEGdecoding / Code-SBLEST
  Matlab code for SBLEST algorithm
  ☆43Updated last year
• guangyizhangbci / EEG_Riemannian
  IEEE Transactions on Emerging Topics in Computational Intelligence
  ☆67Updated 4 months 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
• duanyiqun / Brain-Diffusion
  Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.
  ☆39Updated last year
• maxxxzdn / EEGCN
  Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]
  ☆21Updated 3 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
• kolcs / bionic_apps
  ☆16Updated 8 months ago
• KAZABANA / EEGMatch
  ☆37Updated 9 months ago
• prajwalsingh / EEGStyleGAN-ADA
  Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]
  ☆44Updated last year
• 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
• linkingct / gnn-deap-eeg
  http://www.eecs.qmul.ac.uk/mmv/datasets/deap/
  ☆28Updated 4 years ago
• comojin1994 / DFformer
  Towards Domain Free Transformer for Generalized EEG Pre-training
  ☆27Updated 4 months ago
• javiferfer / cross-subject-eeg-emotion-recognition-through-nn
  ☆31Updated 5 months ago
• yi-ding-cs / EEG-Deformer
  [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…
  ☆80Updated 2 months ago
• mcd4874 / NeurIPS_competition
  code for NeurIPS_competition
  ☆28Updated 3 years ago
• WilliamRo / EEG-Denoise
  ☆19Updated 5 months ago
• eeyhsong / NICE-LLM
  [tnnls 2025] Language-guided contrastive learning for M/EEG-based image recognition.
  ☆23Updated 8 months ago
• 1061413241 / MEET
  The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"
  ☆16Updated 3 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