Alternatives and similar repositories for wearables

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

• pquochuy / sleep_transfer_learning
  Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
  ☆48Updated last year
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆35Updated 3 weeks ago
• Dreem-Organization / RobustSleepNet
  Transfer learning for sleep stage detection
  ☆35Updated 4 years ago
• pquochuy / MultitaskSleepNet
  Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
  ☆44Updated last year
• 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
• pquochuy / xsleepnet
  ☆55Updated last year
• emadeldeen24 / ADAST
  [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
  ☆39Updated 2 years ago
• XueJiang16 / ssl-torch
  ☆39Updated 4 years ago
• emadeldeen24 / sleep-stage-classification-papers
  This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I …
  ☆66Updated 3 years ago
• pquochuy / SeqSleepNet
  SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
  ☆107Updated last year
• Dreem-Organization / dreem-learning-open
  Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"
  ☆93Updated 3 months ago
• neergaard / deep-sleep-pytorch
  ☆17Updated 3 years ago
• pbizopoulos / signal2image-modules-in-deep-neural-networks-for-eeg-classification
  ☆21Updated 2 weeks ago
• WoongheeLee / DeepSleepNet_Implementation_in_Keras
  ☆14Updated 2 years ago
• emadeldeen24 / eval_ssl_ssc
  [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
  ☆47Updated 2 years ago
• GuanLab / DeepSleep
  ☆44Updated 4 years ago
• tiehangd / MUPS-EEG
  Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
  ☆44Updated 2 years ago
• IoBT-VISTEC / MetaSleepLearner
  Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…
  ☆42Updated 4 years ago
• ycq091044 / ContraWR
  JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
  ☆50Updated 2 years ago
• flower-kyo / Tinysleepnet-pytorch
  TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG
  ☆30Updated 4 years ago
• SPOClab-ca / BENDR
  ☆198Updated 3 years ago
• AI4HealthUOL / s4sleep
  Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
  ☆18Updated 2 years ago
• pquochuy / SleepTransformer
  ☆30Updated last year
• Jathurshan0330 / Cross-Modal-Transformer
  Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
  ☆73Updated last year
• cuijiancorbin / A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
  In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…
  ☆28Updated 3 years ago
• predict-idlab / sleep-linear
  Do not sleep on traditional machine learning for sleep stage scoring
  ☆52Updated 2 years ago
• mlberkeley / eeg-ssl
  Self-supervised learning for EEG
  ☆27Updated 5 years ago
• klean2050 / ecg-augmentations
  ECG time-series augmentations library
  ☆27Updated 2 years ago
• drasros / sleep_staging_shhs
  Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"
  ☆63Updated 8 years ago
• vancleys / EEGFeatures
  EEG Features to be extract from raw data.
  ☆28Updated 8 years ago