Alternatives and similar repositories for eegssl

Users that are interested in eegssl are comparing it to the libraries listed below

• mlberkeley / eeg-ssl
  Self-supervised learning for EEG
  ☆27Updated 5 years ago
• hubertjb / dynamic-spatial-filtering
  Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021
  ☆29Updated 3 years ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆29Updated 2 years ago
• XiaoxiWei / NeurIPS_BEETL
  This is the NeurIPS BEETL repository (https://beetl.ai)
  ☆35Updated 2 years ago
• AKiessner / TUHAbnormal-Expansion-dataset
  ☆13Updated 2 years ago
• SPOClab-ca / ThinkerInvariance
  ☆18Updated 5 years ago
• sylvchev / beetl-competition
  Code helper for BEETL competition
  ☆12Updated 4 years ago
• maschulz / deeperbrain
  ☆17Updated 4 years ago
• Dreem-Organization / dreem-learning-evaluation
  Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"
  ☆35Updated 4 years ago
• neerajwagh / eeg-self-supervision
  Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…
  ☆22Updated 2 years ago
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆36Updated last month
• plcrodrigues / RPA
  Python code for the Riemannian Procrustes Analysis (RPA) method
  ☆48Updated last year
• nerdslab / SwapVAE
  PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity
  ☆13Updated 4 years ago
• zacharycbrown / ssl_baselines_for_biosignal_feature_extraction
  Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.
  ☆53Updated 2 years ago
• pquochuy / sleep_transfer_learning
  Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
  ☆48Updated 2 years ago
• SPOClab-ca / dn3
  The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.
  ☆73Updated 3 years ago
• robintibor / braindevel
  For my current research.
  ☆38Updated 7 years ago
• mjmnzg / Custom-Domain-Adaptation
  Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition
  ☆15Updated 4 years ago
• tiehangd / MUPS-EEG
  Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
  ☆44Updated 2 years ago
• mne-tools / mne-torch
  Repository of sample scripts to train deep learning model with PyTorch and MNE
  ☆28Updated 6 years ago
• aparek / mcsleep
  Multichannel Sleep Spindle Detector for sleep EEG
  ☆12Updated 5 years ago
• wangjinzhuo / wearables
  ☆32Updated 5 years ago
• shalit-lab / deep-scientific-discovery
  An implementation of the paper 'Using Deep Networks for Scientific Discovery in Physiological Signals'
  ☆12Updated 5 years ago
• TNTLFreiburg / brainfeatures
  A toolbox to decode raw time-domain EEG using features.
  ☆20Updated 6 years ago
• gabi-a / EEG-Literature
  Notes on methods using EEG for seizure prediction
  ☆11Updated 5 years ago
• mabhijithn / irregulars-neureka-codebase
  Scripts, packages and info supporting the Neureka Challenge 2020 submission by the team Biomed Irregulars.
  ☆12Updated 2 years ago
• XueJiang16 / ssl-torch
  ☆39Updated 4 years ago
• pquochuy / MultitaskSleepNet
  Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
  ☆44Updated 2 years ago
• SPOClab-ca / BENDR
  ☆198Updated 3 years ago
• MedMaxLab / selfEEG
  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
  ☆68Updated 5 months ago