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
  ☆227Updated 3 years ago
• cecilialeiqi / SPIRAL
  ☆16Updated 8 years ago
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆111Updated last year
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆186Updated 6 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆93Updated 5 years ago
• houshd / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆103Updated 6 years ago
• dotnet54 / TS-CHIEF
  TS-CHIEF
  ☆44Updated 7 months ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• qianlima-lab / DTCR
  The paper "Learning Representations for Time Series Clustering"
  ☆92Updated 4 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆73Updated 5 years ago
• NIPS-BRITS / BRITS
  ☆82Updated 2 years ago
• KMdsy / DTCR
  Tensorflow implementation of paper 'Learning Representations for Time Series Clustering' (NIPS 2019 accept paper).
  ☆20Updated 3 years ago
• TimyadNyda / Variational-Lstm-Autoencoder
  Lstm variational auto-encoder for time series anomaly detection and features extraction
  ☆322Updated 4 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆148Updated 3 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆115Updated 6 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
• zhiyongc / GRU-D
  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
  ☆117Updated 5 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆99Updated 2 years ago
• JacobWang95 / mWDN
  ☆52Updated 6 years ago
• swlee052 / deep-learning-time-series-anomaly-detection
  An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'
  ☆49Updated 4 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 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
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆68Updated 4 years ago
• aditya1709 / DTW_kmedoids
  Multivariate time series clustering using Dynamic Time Warping (DTW) and k-mediods algorithm
  ☆39Updated 7 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆29Updated 3 years ago
• HamzaG737 / Deep-temporal-clustering
  A non-official pytorch implementation of the DTC model for time series classification.
  ☆52Updated 3 years ago