Alternatives and similar repositories for DeepTransferEEG

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

• martinwimpff / channel-attention
  ☆36Updated last year
• MiaoZhengQing / LMDA-Code
  code for LMDA
  ☆80Updated last year
• Jiaheng-Wang / IFNet
  ☆25Updated 2 years ago
• Want2Vanish / FBMSNet
  This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.
  ☆38Updated last year
• MAILAB-korea / META-EEG
  META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces
  ☆20Updated 10 months ago
• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆67Updated last month
• KAZABANA / PR-PL
  official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)
  ☆39Updated 11 months ago
• High-East / BCI-ToolBox
  Deep Learning pipeline for motor-imagery classification.
  ☆61Updated 3 years ago
• gzoumpourlis / DEAP_MNE_preprocessing
  Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction
  ☆71Updated 3 years ago
• yi-ding-cs / TSception
  [TAFFC-2022] PyTorch implementation of TSception v2
  ☆119Updated last year
• wzwvv / EEGAug
  [NN 2024] Channel Reflection: Knowledge-Driven Data Augmentation for EEG-based Brain–Computer Interfaces
  ☆19Updated 9 months ago
• hancan16 / SST-DPN
  A Lightweight and High Performance Neural network for MI-EEG decoding
  ☆26Updated 2 months ago
• greeyun / DGGN
  ☆17Updated 3 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…
  ☆45Updated 2 years ago
• comojin1994 / m-shallowconvnet
  Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals
  ☆35Updated last month
• ThreePoundUniverse / MACTN
  ☆15Updated 2 years ago
• Ma-Xinzhi / LightConvNet
  ☆22Updated last year
• 935963004 / MAET
  [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels
  ☆48Updated last week
• doc-ycm / EEG-ATCNet-pytorch
  ☆20Updated last year
• yi-ding-cs / LGG
  [TNNLS-2023] This is the PyTorch implementation of LGGNet.
  ☆108Updated last year
• heibaipei / FLADA
  Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption
  ☆26Updated 3 years ago
• CHEN-XDU / GMSS
  This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
  ☆72Updated 3 years ago
• comojin1994 / DFformer
  Towards Domain Free Transformer for Generalized EEG Pre-training
  ☆26Updated last month
• ManTouCIBR / CNN-training-testing-templates-for-processing-EEG-signals
  A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…
  ☆20Updated last year
• zhengqq / DRDA_EEG
  ☆14Updated 3 years ago
• CodeBreathing / DMMR
  The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…
  ☆47Updated 2 weeks ago
• EdgarMoyete / Deep-Learning-BCI-IV-2a
  Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores
  ☆55Updated 4 years ago
• renhong-zhang / eeg-emotion-recognition-with-vit
  Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.
  ☆66Updated 2 years ago
• hehe03 / EA
  This repository is the official implementation of “Transfer learning for brain-computer interfaces: A Euclidean space data alignment appr…
  ☆21Updated 3 years ago
• xujiayang530 / DGCNN
  pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
  ☆92Updated last year