Alternatives and similar repositories for dtc-tensorflow

Users that are interested in dtc-tensorflow are comparing it to the libraries listed below

• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆236Updated last month
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆112Updated 2 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆94Updated 5 years ago
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆182Updated 7 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆62Updated 2 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆198Updated 2 years ago
• qianlima-lab / DTCR
  The paper "Learning Representations for Time Series Clustering"
  ☆97Updated 5 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆101Updated 3 years ago
• cecilialeiqi / SPIRAL
  ☆17Updated 8 years ago
• White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
  ☆405Updated last year
• mohaseeb / shaplets-python
  Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient des…
  ☆222Updated 6 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• jsyoon0823 / MRNN
  Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019
  ☆45Updated 5 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
• JacobWang95 / mWDN
  ☆53Updated 7 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆118Updated 6 years ago
• dotnet54 / TS-CHIEF
  TS-CHIEF
  ☆46Updated last year
• zhiyongc / GRU-D
  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
  ☆121Updated 6 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆137Updated 2 years ago
• danielgy / Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning
  ☆190Updated 8 years ago
• TimyadNyda / Variational-Lstm-Autoencoder
  Lstm variational auto-encoder for time series anomaly detection and features extraction
  ☆338Updated 5 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆75Updated 6 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆114Updated 6 years ago
• fpetitjean / DBA
  DBA: Averaging for Dynamic Time Warping
  ☆199Updated 5 years ago
• aditya1709 / DTW_kmedoids
  Multivariate time series clustering using Dynamic Time Warping (DTW) and k-mediods algorithm
  ☆40Updated 8 years ago
• qianlima-lab / TSN
  The paper "Triple-shapelet Networks for Time Series Classification"
  ☆15Updated 5 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 3 years ago
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆382Updated 6 years ago
• ZhouYuxuanYX / Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-
  Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…
  ☆129Updated 3 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆140Updated 6 years ago