dlcjfgmlnasa / Barlow_Twins_EEGLinks
[IEEE Access] A Novel Negative-sample-free Contrastive Self-Supervised Learning for EEG-Based Motor Imagery Classification
☆12Updated 7 months ago
Alternatives and similar repositories for Barlow_Twins_EEG
Users that are interested in Barlow_Twins_EEG are comparing it to the libraries listed below
Sorting:
- Diffusion-Based ECG Noise Quantification via Anomaly Detection☆19Updated 3 weeks ago
- [ESWA] NeuroXAI: Adaptive, Robust, Explainable Surrogate Framework for Determination of Channel Importance in EEG Application☆33Updated 9 months ago
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆63Updated 7 months ago
- This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly co…☆13Updated 5 months ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- [ICLR 2025] BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications☆30Updated 2 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆78Updated 3 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Updated 5 months ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆175Updated last month
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆33Updated 2 months ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆62Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆130Updated last year
- ☆17Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆70Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆43Updated last year
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆17Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆118Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆278Updated 6 months ago
- ☆23Updated 2 years ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆11Updated 2 years ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆24Updated last year
- This is an official implementation for "SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning", Expert Systems …☆73Updated 5 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- code for LMDA☆84Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- ☆32Updated 2 years ago
- [Preparing] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding☆25Updated last week