Alternatives and similar repositories for LMDA-Code

Users that are interested in LMDA-Code are comparing it to the libraries listed below

• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆82Updated 3 weeks ago
• martinwimpff / channel-attention
  ☆41Updated last year
• SheepTAO / MSVTNet
  MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding
  ☆31Updated 8 months ago
• ravikiran-mane / FBCNet
  FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface
  ☆145Updated 2 years ago
• iis-eth-zurich / eeg-tcnet
  ☆92Updated 4 years ago
• EdgarMoyete / Deep-Learning-BCI-IV-2a
  Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores
  ☆55Updated 4 years ago
• yi-ding-cs / LGG
  [TNNLS-2023] This is the PyTorch implementation of LGGNet.
  ☆127Updated 2 years ago
• yi-ding-cs / TSception
  [TAFFC-2022] PyTorch implementation of TSception v2
  ☆147Updated 2 years ago
• Altaheri / EEG-ATCNet
  Attention temporal convolutional network for EEG-based motor imagery classification
  ☆318Updated 2 months ago
• doc-ycm / EEG-ATCNet-pytorch
  ☆21Updated 2 years ago
• Want2Vanish / FBMSNet
  This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.
  ☆41Updated 2 years 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
• High-East / BCI-ToolBox
  Deep Learning pipeline for motor-imagery classification.
  ☆64Updated 4 years ago
• ziyujia / Motor-Imagery-Papers
  A list of papers for motor imagery using machine learning/deep learning.
  ☆84Updated 4 years ago
• sucv / EEGNet_Pytorch_Implementation
  Pytorch implementation of EEGNet.
  ☆52Updated 3 years ago
• EdgarMoyete / EEG-Classification-with-CNN
  Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…
  ☆49Updated 3 years ago
• hancan16 / SST-DPN
  A Lightweight and High Performance Neural network for MI-EEG decoding
  ☆38Updated 10 months ago
• zhangks98 / eeg-adapt
  Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
  ☆100Updated 3 years ago
• comojin1994 / m-shallowconvnet
  Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals
  ☆36Updated 9 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…
  ☆49Updated 3 years ago
• Ma-Xinzhi / LightConvNet
  ☆23Updated 2 years ago
• CHEN-XDU / GMSS
  This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
  ☆83Updated 3 years ago
• KAZABANA / EEGfusenet
  ☆24Updated 4 years ago
• edw4rdyao / eeg_mi_dl
  A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…
  ☆85Updated last year
• zwcolin / EEG-Transformer
  A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification
  ☆194Updated 8 months ago
• XuanhaoLiu / MoGE
  BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions
  ☆16Updated 9 months ago
• Ma-Xinzhi / EEG-TransNet
  ☆29Updated last year
• gzoumpourlis / DEAP_MNE_preprocessing
  Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction
  ☆91Updated 3 years ago
• wzwvv / DBConformer
  [IEEE JBHI 2025] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding
  ☆41Updated last month
• ziyujia / SST-EmotionNet
  SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
  ☆139Updated 4 years ago