peterwhycs / T-BEARLinks
Detect EEG artifacts, outliers, or anomalies using supervised machine learning.
☆12Updated 4 years ago
Alternatives and similar repositories for T-BEAR
Users that are interested in T-BEAR are comparing it to the libraries listed below
Sorting:
- EEG Features to be extract from raw data.☆27Updated 8 years ago
- Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021☆29Updated 3 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- ☆21Updated this week
- IPython notebooks for EEG/MEG data processing using mne-python☆28Updated 9 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆41Updated 4 years ago
- Transfer learning for sleep stage detection☆31Updated 3 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆35Updated 2 years ago
- ☆27Updated 7 years ago
- ☆31Updated 3 months ago
- code for NeurIPS_competition☆28Updated 3 years ago
- Self-supervised learning for EEG☆25Updated 4 years ago
- Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification☆41Updated last year
- Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning☆48Updated last year
- A library with tools for EEG analysis. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S235…☆17Updated 4 years ago
- ☆31Updated 2 months ago
- PyTorch implementation of TSception☆75Updated 2 years ago
- ☆38Updated 4 years ago
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆34Updated last month
- Repository of sample scripts to train deep learning model with PyTorch and MNE☆28Updated 6 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- EEG neural decoding for lower limb during gait using machine learning and neural networks☆11Updated 5 years ago
- Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆32Updated 3 years ago
- NEURAL_py: a neonatal EEG feature set in python☆13Updated 2 years ago
- Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification☆21Updated last year
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆67Updated 11 months ago
- Temporally adaptive common spatial patterns with convolutional neural networks☆9Updated 3 years ago
- Function to calculate consistency of phase at a given frequency across measurements☆17Updated 7 years ago
- ☆36Updated 7 years ago
- An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation☆16Updated 2 years ago