Alternatives and similar repositories for relcon

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

• OxWearables / capture24
  CAPTURE-24: Human activity recognition with activity trackers
  ☆42Updated 7 months ago
• iantangc / ContrastiveLearningHAR
  Contrastive Learning (SimCLR) for Human Activity Recognition
  ☆78Updated 4 years ago
• OxWearables / ssl-wearables
  Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
  ☆132Updated 8 months ago
• akhilmathurs / collossl
  ☆16Updated 3 years ago
• AdelaideAuto-IDLab / Attend-And-Discriminate
  Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors
  ☆23Updated 4 years ago
• ntnu-ai-lab / SelfPAB
  Large-Scale Pre-Training for Dual-Accelerometer Human Activity Recognition
  ☆12Updated 7 months ago
• mariusbock / dl-for-har
  Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…
  ☆57Updated 3 months ago
• iantangc / SelfHAR
  Improving Human Activity Recognition through Self-training with Unlabeled Data
  ☆42Updated 4 years ago
• danikiyasseh / CLOCS
  [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS
  ☆55Updated 2 years ago
• Rxannro / HMGAN
  ☆10Updated 2 years ago
• tmehari / ssm_ecg
  ☆22Updated 2 years ago
• ntnu-ai-lab / harth-ml-experiments
  Baseline Machine Learning models for the Human Activity Recognition Trondheim (HARTH) dataset
  ☆33Updated 6 months ago
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆47Updated 2 years ago
• sindhura97 / STraTS
  ☆79Updated 11 months ago
• seunghan96 / softclt
  ☆76Updated last year
• harkash / contrastive-predictive-coding-for-har
  Implementation of Contrastive Predictive Coding for Human Activity Recognition
  ☆30Updated 2 years ago
• Nokia-Bell-Labs / papagei-foundation-model
  (ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals
  ☆94Updated last week
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆48Updated last year
• STRCWearlab / DeepConvLSTM_py3
  DeepConvLSTM implemented in python 3 and pytorch
  ☆26Updated 3 years ago
• BobZwr / Cross-Reconstruction-Transformer
  The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…
  ☆48Updated last year
• sanatonek / TNC_representation_learning
  ☆122Updated 2 years ago
• Tian0426 / CL-HAR
  ☆63Updated 2 years ago
• emadeldeen24 / CA-TCC
  [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
  ☆156Updated last year
• eth-siplab / Finding_Order_in_Chaos
  The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…
  ☆35Updated last year
• flowerinheart / AttnSense
  ☆9Updated 6 years ago
• 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…
  ☆17Updated last year
• emadeldeen24 / TS-TCC
  [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
  ☆442Updated last year
• sdimi / Step2heart
  🏋️ Extract generalizable physiological representations from sensor time-series data with self-supervision (code for CHIL 2021, NeurIPS-W…
  ☆19Updated last year
• emadeldeen24 / eval_ssl_ssc
  [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation
  ☆44Updated last year
• DL4mHealth / COMET
  [Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series
  ☆73Updated last year