ycq091044 / ContraWR
JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
☆48Updated last year
Alternatives and similar repositories for ContraWR:
Users that are interested in ContraWR are comparing it to the libraries listed below
- ☆38Updated 4 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆120Updated last year
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- ☆60Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆30Updated 3 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated last year
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- Matlab code for SBLEST algorithm☆42Updated last year
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆53Updated 2 months ago
- Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models☆18Updated last year
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆52Updated 2 months ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆47Updated 3 weeks ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- ☆53Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆28Updated 4 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆40Updated last year
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆40Updated 4 years ago
- ☆18Updated 4 months ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- ☆26Updated last year
- Analysis of Transformer attention in EEG signal classification☆43Updated 8 months ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 5 months ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆14Updated last year
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆45Updated 2 years ago
- Corpus of resources for multimodal machine learning with physiological signals (mmps).☆75Updated this week
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆71Updated 5 months ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆34Updated 11 months ago
- ☆24Updated 5 months ago