Alternatives and similar repositories for UnsupervisedScalableRepresentationLearningTimeSeries:

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

• tejaslodaya / timeseries-clustering-vae
  Variational Recurrent Autoencoder for timeseries clustering in pytorch
  ☆473Updated last year
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆168Updated 4 years ago
• uchidalab / time_series_augmentation
  An example of time series augmentation methods with Keras
  ☆342Updated 3 years ago
• sanatonek / TNC_representation_learning
  ☆114Updated 2 years ago
• vincent-leguen / DILATE
  Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
  ☆374Updated 4 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆123Updated 3 years ago
• angus924 / minirocket
  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
  ☆296Updated 2 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆261Updated 8 months ago
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆184Updated 6 years ago
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆223Updated 2 years ago
• edebrouwer / gru_ode_bayes
  Pytorch implementation of GRU-ODE-Bayes
  ☆228Updated 2 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆147Updated 3 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• zhihanyue / ts2vec
  A universal time series representation learning framework
  ☆658Updated 6 months ago
• PeterChe1990 / GRU-D
  GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
  ☆122Updated 2 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆383Updated 4 years ago
• caow13 / BRITS
  Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series
  ☆209Updated 6 years ago
• husnejahan / DeepAR-pytorch
  ☆255Updated 3 years ago
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆429Updated 2 years ago
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆221Updated last year
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆490Updated 3 years ago
• Wensi-Tang / OS-CNN
  ☆138Updated 2 years ago
• houshd / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆102Updated 5 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆113Updated 5 years ago
• ojus1 / Time2Vec-PyTorch
  Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf
  ☆274Updated 2 years ago
• okrasolar / pytorch-timeseries
  PyTorch implementations of neural networks for timeseries classification
  ☆111Updated 3 years ago
• mims-harvard / TFC-pretraining
  Self-supervised contrastive learning for time series via time-frequency consistency
  ☆460Updated 9 months ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆710Updated 6 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆66Updated 3 years ago
• TimyadNyda / Variational-Lstm-Autoencoder
  Lstm variational auto-encoder for time series anomaly detection and features extraction
  ☆318Updated 4 years ago