Alternatives and similar repositories for DAEAC

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

• ysxGitHub / MVMS-net
  The code for paper "A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification"
  ☆27Updated 2 years ago
• emadeldeen24 / eval_ssl_ssc
  [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
  ☆44Updated last year
• yshanyes / Pytorch-ECG-Classifier-Cinc2020-Official
  This is a PyTorch implementation of "Multi-label Classification of Electrocardiogram with Modified Residual Networks" paper.
  ☆18Updated 4 years ago
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆34Updated 2 years ago
• emadeldeen24 / ADAST
  [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
  ☆38Updated last year
• danikiyasseh / CLOPS
  [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS
  ☆20Updated 2 years ago
• nengwp / CCRRSleepNet
  CCRRSleepNet: A Hybrid Relational Inductive Biases Network for Automatic Sleep Stage Classification on Raw Single-Channel EEG
  ☆12Updated 3 years ago
• tmehari / ecg-selfsupervised
  Self-supervised representation learning from 12-lead ECG data
  ☆87Updated 3 years ago
• madao33 / ECG-Classfier
  a ecg classfier based on PTB-XL database
  ☆35Updated 3 years ago
• chamwen / NT-Benchmark
  A Benchmark to Study Negative Transfer https://ieeexplore.ieee.org/document/9938381
  ☆17Updated 2 years ago
• danikiyasseh / CLOCS
  [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS
  ☆54Updated 2 years ago
• StefanHeng / ECG-Representation-Learning
  Self-supervised pre-training for ECG representation with inspiration from transformers & computer vision
  ☆25Updated 3 years ago
• aniruddhraghu / ecg_aug
  ☆16Updated 2 years ago
• ziyujia / SalientSleepNet
  SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
  ☆54Updated 4 years ago
• xiyangcai / SleepPrintNet
  SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging
  ☆37Updated last year
• XianhuiChen / Bottleneck-Attention-Based-Fusion-Network-for-Sleep-Apnea-Detection
  ☆23Updated 10 months ago
• dingkmC / MSDA
  Multiple Source Domain Adaptation with Adversarial Learning
  ☆22Updated 4 years ago
• ekansh09 / LRH-Net
  Official Implementation of LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart Network
  ☆20Updated last year
• aristotelisballas / biodg
  BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.
  ☆19Updated 3 months ago
• DL4mHealth / Contrastive-Learning-in-Medical-Time-Series-Survey
  A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series
  ☆28Updated 11 months ago
• likith012 / IMLE-Net
  Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"
  ☆31Updated last year
• Jathurshan0330 / Cross-Modal-Transformer
  Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
  ☆64Updated last year
• atabas / Heartbeat-Classification
  Classify ECG signals into predefined categories based on heartbeat abnormality by transforming time series to images
  ☆24Updated 4 years ago
• Amadeuszhao / SE-ECGNet
  ☆32Updated 4 years ago
• rohitdwivedula / ecg_benchmarking
  Multiclass and multilabel classification of ECG signals using various deep learning models.
  ☆11Updated 4 years ago
• JerryKingQAQ / AEEG-PI-CL
  [TIM 2024] The official implementation for the paper "Affective EEG-based Person Identification with Continual Learning"
  ☆12Updated 10 months ago
• lhkhiem28 / LightX3ECG
  ☆22Updated last year
• hsd1503 / ENCASE
  Deep Learning on ECG, the First place in the PhysioNet/CinC Challenge 2017 (F1=0.83)
  ☆41Updated 5 years ago
• comp-well-org / Data_Augmentation_for_Biobehavioral_Time_Series_Data
  This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learnin…
  ☆12Updated 2 years ago
• ziyu-zui / heart-arrhythmia-diagnosis-with-deep-learning
  codes for paper: ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks
  ☆14Updated 2 years ago