Alternatives and similar repositories for ContraWR

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

• XueJiang16 / ssl-torch
  ☆38Updated 4 years ago
• ycq091044 / BIOT
  NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
  ☆133Updated last year
• CECNL / MAtt
  ☆65Updated last year
• eeg-augmentation-benchmark / eeg-augmentation-benchmark-2022
  Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…
  ☆45Updated 2 years ago
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆34Updated 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
• MAILAB-korea / META-EEG
  META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces
  ☆20Updated 11 months ago
• 935963004 / MAET
  [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels
  ☆48Updated 3 weeks ago
• yi-ding-cs / EEG-Deformer
  [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…
  ☆73Updated 6 months ago
• dav0dea / eeg-transformer
  Analysis of Transformer attention in EEG signal classification
  ☆44Updated 9 months ago
• MedMaxLab / selfEEG
  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
  ☆55Updated 2 weeks ago
• dfreer15 / DeepEEGDataAugmentation
  Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…
  ☆29Updated 4 years ago
• dlcjfgmlnasa / NeuroNet
  [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
  ☆59Updated 4 months ago
• emadeldeen24 / ADAST
  [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
  ☆38Updated last year
• hancan16 / SST-DPN
  A Lightweight and High Performance Neural network for MI-EEG decoding
  ☆26Updated 3 months ago
• High-East / BCI-ToolBox
  Deep Learning pipeline for motor-imagery classification.
  ☆61Updated 3 years ago
• MiaoZhengQing / LMDA-Code
  code for LMDA
  ☆81Updated last year
• tiehangd / MUPS-EEG
  Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
  ☆42Updated last year
• ThreePoundUniverse / MACTN
  ☆16Updated 2 years ago
• wjq-learning / SleepDG
  [AAAI 2024] Generalizable Sleep Staging via Multi-Level Domain Alignment
  ☆18Updated 3 weeks ago
• KAZABANA / EEGMatch
  ☆31Updated 7 months ago
• JC-Journal-Club / DDA
  The paper is being submitted
  ☆16Updated 2 years ago
• DL4mHealth / LEAD
  The World's First Foundational Model for EEG-based Alzheimer's Disease Detection
  ☆41Updated 4 months ago
• xiyangcai / SEN-DAL
  Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging
  ☆19Updated 5 months ago
• EEGdecoding / Code-SBLEST
  Matlab code for SBLEST algorithm
  ☆43Updated last year
• emadeldeen24 / eval_ssl_ssc
  [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
  ☆44Updated last year
• Navidfoumani / EEG2Rep
  KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
  ☆61Updated 4 months ago
• CHEN-XDU / GMSS
  This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
  ☆73Updated 3 years ago
• martinwimpff / channel-attention
  ☆36Updated last year
• pquochuy / xsleepnet
  ☆54Updated last year