Alternatives and similar repositories for SPIRAL

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

• qianlima-lab / DTCR
  The paper "Learning Representations for Time Series Clustering"
  ☆93Updated 4 years ago
• aditya1709 / DTW_kmedoids
  Multivariate time series clustering using Dynamic Time Warping (DTW) and k-mediods algorithm
  ☆39Updated 7 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆72Updated 6 years ago
• KMdsy / DTCR
  Tensorflow implementation of paper 'Learning Representations for Time Series Clustering' (NIPS 2019 accept paper).
  ☆20Updated 3 years ago
• saeeeeru / dtc-tensorflow
  Implementation of Deep Temporal Clustering.
  ☆74Updated 2 years ago
• dotnet54 / TS-CHIEF
  TS-CHIEF
  ☆43Updated 8 months ago
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆111Updated last year
• KDD-OpenSource / agots
  Anomaly Generator on Time Series
  ☆55Updated 5 years ago
• qianlima-lab / TSN
  The paper "Triple-shapelet Networks for Time Series Classification"
  ☆15Updated 5 years ago
• JacobWang95 / mWDN
  ☆52Updated 6 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆93Updated 5 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆99Updated 2 years ago
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆229Updated 3 years ago
• houshd / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆102Updated 6 years ago
• PeterChe1990 / GRU-D
  GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
  ☆132Updated 2 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 6 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆196Updated 2 years ago
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆186Updated 6 years ago
• sharford5 / SFA_Python
  ☆34Updated 3 years ago
• DavideNardone / MTSS-Multivariate-Time-Series-Software
  A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS).
  ☆46Updated 5 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆116Updated 6 years ago
• huipingcao / nmsu_yhao_ijcai2020
  This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huip…
  ☆29Updated 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…
  ☆43Updated 2 years ago
• rob-med / Everything-Shapelets
  This repo contains useful links to research papers and implementations of shapelets discovery/learning techniques from different sources.
  ☆19Updated 8 years ago
• NIPS-BRITS / BRITS
  ☆82Updated 3 years ago
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆39Updated 3 years ago
• ProcessMonitoringStellenboschUniversity / IFAC-VAE-Imputation
  Demonstration code for missing data imputation using Variational Autoencoders (VAE)
  ☆23Updated 6 years ago
• BinhangYuan / WaveletFCNN
  Source code and dataset for the paper ""
  ☆29Updated 4 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆58Updated last year