Alternatives and similar repositories for DTCR

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

• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆73Updated 6 years ago
• sanatonek / TNC_representation_learning
  ☆122Updated 2 years ago
• KMdsy / DTCR
  Tensorflow implementation of paper 'Learning Representations for Time Series Clustering' (NIPS 2019 accept paper).
  ☆20Updated 3 years ago
• caow13 / BRITS
  Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series
  ☆229Updated 6 years ago
• JacobWang95 / mWDN
  ☆52Updated 7 years ago
• cruiseresearchgroup / TSCP2
  Time Series Change Point Detection based on Contrastive Predictive Coding
  ☆81Updated 3 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆93Updated 5 years ago
• Luoyonghong / E2EGAN
  ☆85Updated 6 years ago
• White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
  ☆403Updated last year
• 7fantasysz / MSCRED
  Multi-Scale Convolutional Recurrent Encoder-Decoder
  ☆147Updated 5 years ago
• NIPS-BRITS / BRITS
  ☆83Updated 3 years ago
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆231Updated 3 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆117Updated 6 years ago
• KurochkinAlexey / IMV_LSTM
  Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
  ☆109Updated 5 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆175Updated 3 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆192Updated 6 years ago
• petecheng / Time2Graph
  Source codes for Time2Graph model.
  ☆136Updated 5 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆260Updated last year
• ChangWeiTan / TS-Extrinsic-Regression
  This repository contains the source code for time series regression.
  ☆104Updated last year
• Wensi-Tang / OS-CNN
  ☆141Updated last month
• EnyanDai / GANF
  Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
  ☆155Updated 2 years ago
• tnakae / DAGMM
  DAGMM Tensorflow implementation
  ☆180Updated 2 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆88Updated 4 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆142Updated 6 years ago
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆224Updated 2 years ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• blafabregue / TimeSeriesDeepClustering
  This is the code corresponding to the experiments conducted for the work "End-to-end deep representation learning for time series cluster…
  ☆45Updated 2 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆81Updated 2 years ago
• houshd / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆103Updated 6 years ago