CECNL / EEG-KDLinks
☆12Updated 2 years ago
Alternatives and similar repositories for EEG-KD
Users that are interested in EEG-KD are comparing it to the libraries listed below
Sorting:
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- code for LMDA☆81Updated 2 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆70Updated 2 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated 2 months ago
- ☆21Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆19Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆61Updated last year
- IEEE Transactions on Emerging Topics in Computational Intelligence☆66Updated 3 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated 2 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- DDGCNN for ssvep☆15Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆111Updated last year
- ☆38Updated 2 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆79Updated 4 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Updated 2 months ago
- ☆25Updated 7 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆45Updated 7 months ago
- ☆84Updated 3 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆15Updated 3 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆75Updated 3 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆123Updated last year
- A Lightweight and High Performance Neural network for MI-EEG decoding☆28Updated 3 months ago