Alternatives and similar repositories for STraTS:

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

• reml-lab / mTAN
  Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
  ☆128Updated 3 years ago
• Leezekun / ViTST
  [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."
  ☆143Updated last year
• ranakroychowdhury / TARNet
  Task-Aware Reconstruction for Time-Series Transformer
  ☆60Updated 2 years ago
• mlds-lab / interp-net
  Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.
  ☆94Updated 8 months ago
• Let-it-Care / T-Rep
  ☆25Updated 9 months ago
• PeterChe1990 / GRU-D
  GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
  ☆129Updated 2 years ago
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆75Updated 2 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆124Updated 4 years ago
• sanatonek / TNC_representation_learning
  ☆118Updated 2 years ago
• mims-harvard / Raindrop
  Graph Neural Networks for Irregular Time Series
  ☆186Updated 2 years ago
• seunghan96 / softclt
  ☆69Updated 11 months ago
• mqwfrog / ULTS
  ULTS: A unified and standardized library of unsupervised representation learning approaches for time series
  ☆46Updated last year
• Navidfoumani / ConvTran
  This is a PyTorch implementation of ConvTran
  ☆155Updated 3 weeks ago
• ChangWeiTan / TS-Extrinsic-Regression
  This repository contains the source code for time series regression.
  ☆100Updated last year
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆44Updated 2 years ago
• thuml / SimMTM
  About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…
  ☆126Updated 11 months ago
• SCXsunchenxi / ISMTS-Review
  ☆25Updated last year
• benibaeumle / Learning-Shapelets
  A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.
  ☆55Updated 3 years ago
• Mingyue-Cheng / TimeMAE
  ☆92Updated 5 months ago
• WenjieDu / TSDB
  a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…
  ☆192Updated 2 weeks ago
• XAIseries / XCM
  XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification
  ☆48Updated 2 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• Navidfoumani / Series2Vec
  DMKD- Series2Vec: Similarity-based Representation Learning for Time Series
  ☆31Updated 3 weeks ago
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆46Updated last year
• imJiawen / Warpformer
  ☆30Updated 7 months ago
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆223Updated 2 years ago
• Alrash / TimesURL
  The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"
  ☆78Updated 11 months ago
• JAEarly / MILTimeSeriesClassification
  Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
  ☆40Updated last year
• ML4ITS / TimeVQVAE
  [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…
  ☆133Updated last month
• JHoelli / Awesome-Time-Series-Explainability
  A list of (post-hoc) XAI for time series
  ☆126Updated 7 months ago