Alternatives and similar repositories for TSCIL

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

• oezyurty / CLUDA
  Contrastive Learning for Domain Adaptation of Time Series
  ☆93Updated last year
• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆84Updated 4 years ago
• mims-harvard / Raincoat
  Domain Adaptation for Time Series Under Feature and Label Shifts
  ☆125Updated 2 years ago
• emadeldeen24 / CoTMix
  [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup
  ☆33Updated last year
• emadeldeen24 / AdaTime
  [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
  ☆220Updated 2 years ago
• mohamedr002 / MAPU_SFDA_TS
  ☆22Updated last year
• mohamedr002 / SLARDA
  ☆38Updated last year
• floft / calda
  Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation
  ☆28Updated 4 years ago
• Tian0426 / CL-HAR
  ☆65Updated 2 years ago
• chengw07 / InfoTS
  Time Series Contrastive Learning with Information-Aware Augmentations (Code)
  ☆23Updated 2 years ago
• DL4mHealth / SLOTS
  Semi-Supervised End-to-End Contrastive Learning for Time Series Classification
  ☆29Updated 2 years ago
• Frank-Wang-oss / TS-GAC
  ☆37Updated last year
• carrtesy / M2N2
  Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AA…
  ☆41Updated 5 months ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆60Updated 2 years ago
• mqwfrog / MHCCL
  MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
  ☆43Updated last year
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆53Updated 2 years ago
• Wang-ML-Lab / unified-continual-learning
  [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  ☆51Updated 9 months ago
• yfzhang114 / Environment-Label-Smoothing
  This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…
  ☆59Updated 2 years ago
• seunghan96 / softclt
  ☆82Updated last year
• CtrlZ1 / Domain-Adaptation-Algorithms
  Record my work in transfer learning during my postgraduate period.
  ☆51Updated last year
• peijii / BioAug
  Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time s…
  ☆18Updated 10 months ago
• Alrash / TimesURL
  The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"
  ☆93Updated last year
• DMIRLAB-Group / SASA-pytorch
  ☆26Updated 2 years ago
• zwzhang123 / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• DMIRLAB-Group / SASA
  ☆43Updated 2 years ago
• zhangyuxin621 / AMSL
  Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source
  ☆56Updated 3 years ago
• zamanzadeh / DACAD
  Domain Adaptation Contrastive learning model for Anomaly Detection in multivariate time series (DACAD), combining UDA with contrastive le…
  ☆32Updated 3 months ago
• Claydon-Wang / OFTTA
  [IMWUT/UbiComp 2024] Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition
  ☆23Updated 2 years ago
• dingkmC / MSDA
  Multiple Source Domain Adaptation with Adversarial Learning
  ☆22Updated 5 years ago
• fcdl94 / EWC
  OnlineEWC and EWC++ implementations, the online versions of Elastic weight consolidation
  ☆10Updated 6 years ago