Alternatives and similar repositories for SST-DPN

Users that are interested in SST-DPN are comparing it to the libraries listed below

• MiaoZhengQing / LMDA-Code
  code for LMDA
  ☆85Updated 2 years ago
• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆79Updated last month
• SheepTAO / MSVTNet
  MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding
  ☆30Updated 6 months ago
• doc-ycm / EEG-ATCNet-pytorch
  ☆21Updated 2 years ago
• martinwimpff / channel-attention
  ☆38Updated last year
• sylyoung / DeepTransferEEG
  ☆41Updated 2 months ago
• yi-ding-cs / LGG
  [TNNLS-2023] This is the PyTorch implementation of LGGNet.
  ☆122Updated 2 years ago
• iis-eth-zurich / eeg-tcnet
  ☆86Updated 4 years ago
• gzoumpourlis / DEAP_MNE_preprocessing
  Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction
  ☆87Updated 3 years ago
• High-East / BCI-ToolBox
  Deep Learning pipeline for motor-imagery classification.
  ☆62Updated 3 years 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…
  ☆49Updated 3 years ago
• yi-ding-cs / TSception
  [TAFFC-2022] PyTorch implementation of TSception v2
  ☆143Updated 2 years ago
• KAZABANA / PR-PL
  official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)
  ☆50Updated last year
• Want2Vanish / FBMSNet
  This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.
  ☆41Updated 2 years ago
• CHEN-XDU / GMSS
  This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
  ☆82Updated 3 years ago
• ravikiran-mane / FBCNet
  FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface
  ☆142Updated 2 years ago
• edw4rdyao / eeg_mi_dl
  A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…
  ☆81Updated last year
• comojin1994 / m-shallowconvnet
  Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals
  ☆36Updated 7 months ago
• esantamariavazquez / EEG-Inception
  Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing
  ☆48Updated 2 years ago
• anant0301 / EEG-Capsule-Net
  Using Capsule Network for EEG emotion classification using Digit-Caps model
  ☆11Updated 2 years ago
• Ma-Xinzhi / EEG-TransNet
  ☆28Updated last year
• Ma-Xinzhi / LightConvNet
  ☆23Updated 2 years ago
• yi-ding-cs / EmT
  [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.
  ☆84Updated 3 months ago
• zhangks98 / eeg-adapt
  Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
  ☆98Updated 2 years ago
• sucv / EEGNet_Pytorch_Implementation
  Pytorch implementation of EEGNet.
  ☆49Updated 3 years ago
• EdgarMoyete / Deep-Learning-BCI-IV-2a
  Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores
  ☆54Updated 4 years ago
• MAILAB-korea / META-EEG
  META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces
  ☆24Updated last year
• Jinminbox / PGCN
  PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
  ☆72Updated last year
• zhengqq / DRDA_EEG
  ☆15Updated 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 …
  ☆51Updated 4 years ago