Alternatives and similar repositories for DTW-Pool

Users that are interested in DTW-Pool are comparing it to the libraries listed below

• huckiyang / Voice2Series-Reprogramming
  ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification
  ☆73Updated last year
• Wensi-Tang / OS-CNN
  ☆145Updated 6 months ago
• mqwfrog / MHCCL
  MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
  ☆43Updated last year
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆40Updated 2 years ago
• Flawless1202 / Non-AR-Spatial-Temporal-Transformer
  Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.
  ☆77Updated 4 years ago
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 4 years ago
• dmzou / RSRAE
  Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
  ☆37Updated 5 years ago
• googleinterns / local_global_ts_representation
  ☆23Updated 4 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆69Updated 4 years ago
• zhong110020 / pytorch_TCN
  Sequence modeling benchmarks and temporal convolutional networks https://github.com/locuslab/TCN
  ☆24Updated 6 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆44Updated 3 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated 2 years ago
• sanatonek / TNC_representation_learning
  ☆125Updated 3 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆89Updated 4 years ago
• TideDancer / neurips19_DTWNet
  DTWNet: a Dynamic Time Warping Network
  ☆68Updated 6 years ago
• BorealisAI / TSC-Disc-Proto
  Discriminative Prototypes learned by Dynamic Time Warping (DTW) for Time Series Classification (TSC)
  ☆33Updated 4 years ago
• yantijin / ScoreGradPred
  Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
  ☆87Updated last year
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆85Updated 2 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆129Updated 4 years ago
• Spijkervet / contrastive-predictive-coding
  PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)
  ☆90Updated 4 years ago
• kdd2019-tapnet / tapnet
  Multivariate Time Series Classification Model with Attentional Prototype Network
  ☆46Updated 7 years ago
• VirtuosoResearch / Regularized-Self-Labeling
  A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
  ☆27Updated 3 years ago
• EricssonResearch / UDA-4-TSC
  Unsupervised Domain Adaptation for Time Series Classification
  ☆32Updated 2 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 5 years ago
• boschresearch / expclr
  Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"
  ☆14Updated 3 years ago
• fmorenopino / SAAM
  Spectral Attention Autoregressive Model (SAAM)
  ☆16Updated 3 years ago
• ntucllab / imbalanced-DL
  A Python Package for Deep Imbalanced Learning
  ☆57Updated 6 months ago
• mims-harvard / Raincoat
  Domain Adaptation for Time Series Under Feature and Label Shifts
  ☆133Updated 2 years ago
• cruiseresearchgroup / TSCP2
  Time Series Change Point Detection based on Contrastive Predictive Coding
  ☆85Updated 3 years ago
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆70Updated 3 years ago