Alternatives and similar repositories for COMET:

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

• DL4mHealth / Medformer
  [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification
  ☆96Updated last month
• DL4mHealth / Contrastive-Learning-in-Medical-Time-Series-Survey
  A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series
  ☆27Updated 9 months ago
• danikiyasseh / CLOCS
  [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS
  ☆51Updated 2 years ago
• tsy935 / graphs4mer
  ☆57Updated last year
• aikunyi / MedGNN
  Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".
  ☆13Updated 2 months ago
• BobZwr / Cross-Reconstruction-Transformer
  The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…
  ☆46Updated last year
• emadeldeen24 / eval_ssl_ssc
  [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
  ☆40Updated last year
• Navidfoumani / EEG2Rep
  KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
  ☆59Updated 2 months ago
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆46Updated last year
• willxxy / awesome-mmps
  Corpus of resources for multimodal machine learning with physiological signals (mmps).
  ☆72Updated 2 weeks ago
• cheliu-computation / MERL-ICML2024
  ☆60Updated 9 months ago
• yzz673 / Brant
  Pre-trained Transformer on Brain Signals
  ☆25Updated last year
• ycq091044 / ContraWR
  JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
  ☆46Updated last year
• lanxiang1017 / DynamicBadPairMining_ICLR24
  DBPM is a simple algorithm designed as a lightweight plug-in without learnable parameters to enhance the performance of time series contr…
  ☆15Updated last year
• zhouyh310 / SleepHGNN
  This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…
  ☆25Updated last year
• bakqui / ST-MEM
  [ICLR2024] Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
  ☆41Updated 6 months ago
• ycq091044 / BIOT
  NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
  ☆117Updated last year
• JAEarly / MILTimeSeriesClassification
  Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
  ☆41Updated last year
• hongmingli1995 / CR-VAE
  ☆24Updated 2 years ago
• tmehari / ssm_ecg
  ☆22Updated 2 years ago
• elgazzarr / fMRIGNNs
  Benchmarking GNNs for fMRI analysis
  ☆23Updated 2 years ago
• ycq091044 / ATD
  NeurIPS2022: Code for ATD, Sleep-EDF, HAR,PTB-XL, MGH data processing
  ☆15Updated 2 years ago
• zjunet / Brant-X
  ☆21Updated 9 months ago
• JiacLuo / CDCC
  ☆11Updated 11 months ago
• ziyujia / MSTGCN
  Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.
  ☆74Updated 2 weeks ago
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆34Updated 2 years ago
• DL4mHealth / SSL_Comparison
  A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?
  ☆32Updated last year
• Wayfear / FBNETGEN
  ☆36Updated 2 years ago
• bruAristimunha / Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models
  Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.
  ☆45Updated last year
• Armanfard-Lab / EEG-CGS
  [AAAI 2023] Python implementation of Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analy…
  ☆39Updated last year