Alternatives and similar repositories for BRITS

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

• caow13 / BRITS
  Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series
  ☆229Updated 6 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆117Updated 6 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆192Updated 6 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆93Updated 5 years ago
• IvanBongiorni / GAN-RNN_Timeseries-imputation
  Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
  ☆174Updated 2 years ago
• zhiyongc / GRU-D
  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
  ☆118Updated 6 years ago
• Luoyonghong / E2EGAN
  ☆85Updated 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
  ☆135Updated 3 years ago
• oneday88 / deepTCN
  ☆158Updated 3 years ago
• felixykliu / NAOMI
  ☆52Updated 5 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
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆260Updated last year
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆88Updated 4 years ago
• JacobWang95 / mWDN
  ☆52Updated 7 years ago
• jsyoon0823 / MRNN
  Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019
  ☆42Updated 5 years ago
• 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 5 years ago
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆52Updated 3 years ago
• qianlima-lab / DTCR
  The paper "Learning Representations for Time Series Clustering"
  ☆96Updated 4 years ago
• White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
  ☆403Updated last year
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆73Updated 6 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆142Updated 6 years ago
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆140Updated 3 years ago
• zjuwuyy-DL / Generative-Semi-supervised-Learning-for-Multivariate-Time-Series-Imputation
  ☆31Updated 3 years ago
• edebrouwer / gru_ode_bayes
  Pytorch implementation of GRU-ODE-Bayes
  ☆229Updated 3 years ago
• mlds-lab / interp-net
  Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.
  ☆94Updated last year
• vincent-leguen / DILATE
  Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
  ☆391Updated 4 years ago
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆231Updated 3 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆39Updated 4 years ago