Alternatives and similar repositories for ncl

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

• danikiyasseh / CLOCS
  [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS
  ☆57Updated 3 years ago
• seunghan96 / softclt
  ☆86Updated last year
• sanatonek / TNC_representation_learning
  ☆125Updated 3 years ago
• maxxu05 / rebar
  Code for Retrieval-Based Reconstruction For Time-series Contrastive Learning (ICLR 2024)
  ☆38Updated 5 months ago
• reml-lab / mTAN
  Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
  ☆138Updated 4 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
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆70Updated 3 years ago
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆54Updated 2 years ago
• DL4mHealth / COMET
  [Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series
  ☆78Updated 2 years ago
• rehg-lab / pulseimpute
  Code for PulseImpute Challenge
  ☆30Updated last year
• JAEarly / MILTimeSeriesClassification
  Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
  ☆55Updated last year
• mims-harvard / Raincoat
  Domain Adaptation for Time Series Under Feature and Label Shifts
  ☆130Updated 2 years ago
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆52Updated 2 years ago
• emadeldeen24 / AdaTime
  [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
  ☆224Updated 2 years ago
• oezyurty / CLUDA
  Contrastive Learning for Domain Adaptation of Time Series
  ☆96Updated last year
• BobZwr / Cross-Reconstruction-Transformer
  The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…
  ☆51Updated 2 years ago
• hongmingli1995 / CR-VAE
  ☆33Updated 2 years ago
• sindhura97 / STraTS
  ☆81Updated last year
• tsy935 / graphs4mer
  ☆61Updated 2 years ago
• emadeldeen24 / CA-TCC
  [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
  ☆169Updated last year
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 4 years ago
• mims-harvard / Raindrop
  Graph Neural Networks for Irregular Time Series
  ☆216Updated 3 years ago
• mqwfrog / ULTS
  ULTS: A unified and standardized library of unsupervised representation learning approaches for time series
  ☆51Updated 2 years ago
• DL4mHealth / Contrastive-Learning-in-Medical-Time-Series-Survey
  A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series
  ☆35Updated last year
• shivam-grover / S3-TimeSeries
  Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations
  ☆30Updated last year
• DL4mHealth / SSL_Comparison
  A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?
  ☆41Updated 2 years ago
• DL4mHealth / SLOTS
  Semi-Supervised End-to-End Contrastive Learning for Time Series Classification
  ☆29Updated 2 years ago
• Leezekun / ViTST
  [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."
  ☆169Updated 2 years ago
• mqwfrog / MHCCL
  MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
  ☆43Updated last year
• ranakroychowdhury / TARNet
  Task-Aware Reconstruction for Time-Series Transformer
  ☆63Updated 2 years ago