zacharycbrown / ssl_baselines_for_biosignal_feature_extractionLinks
Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.
☆53Updated 2 years ago
Alternatives and similar repositories for ssl_baselines_for_biosignal_feature_extraction
Users that are interested in ssl_baselines_for_biosignal_feature_extraction are comparing it to the libraries listed below
Sorting:
- Analysis of Transformer attention in EEG signal classification☆47Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- ☆39Updated 4 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆43Updated 4 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆116Updated 2 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated 2 years ago
- Self-supervised learning for EEG☆27Updated 5 years ago
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆73Updated 3 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆52Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- Deep Learning pipeline for motor-imagery classification.☆62Updated 3 years ago
- ☆68Updated 2 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆36Updated last month
- seizure type classification using TUH dataset☆79Updated 2 months ago
- ☆198Updated 3 years ago
- 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 4 years ago
- Tools for working with the Temple University Hospital EEG Corpus☆17Updated 5 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆170Updated last year
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆99Updated 6 months ago
- ☆18Updated 5 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆260Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- Lib for event and sample based performance metrics☆22Updated 11 months ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆44Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆70Updated 7 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆68Updated 5 years ago
- Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆94Updated 4 months ago
- ☆178Updated 3 years ago
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆70Updated 9 months ago
- Do not sleep on traditional machine learning for sleep stage scoring☆52Updated 2 years ago