Alternatives and similar repositories for GAIN:

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

• NIPS-BRITS / BRITS
  ☆78Updated 2 years ago
• Harry24k / MIDA-pytorch
  PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"
  ☆28Updated 5 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆190Updated 6 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆131Updated last year
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆80Updated last year
• rcamino / imputation-dgm
  Code for the paper "Improving Missing Data Imputation with Deep Generative Models"
  ☆32Updated 5 years ago
• zhiyongc / GRU-D
  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
  ☆115Updated 5 years ago
• Luoyonghong / E2EGAN
  ☆84Updated 5 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆46Updated last year
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 3 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.
  ☆171Updated 2 years ago
• tommyngx / Multi_TimeGAN
  Multivariate Time Series Imputation with Generative Adversarial Networks
  ☆11Updated 4 years ago
• felixykliu / NAOMI
  ☆51Updated 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
• jsyoon0823 / GAIN
  Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018
  ☆384Updated 2 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆49Updated 4 years ago
• SemenovAlex / trmf
  Temporal Regularized Matrix Factorization
  ☆36Updated 6 years ago
• caow13 / BRITS
  Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series
  ☆209Updated 6 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆87Updated 3 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆93Updated 4 years ago
• galib19 / DeepExtrema-IJCAI22-
  ☆11Updated 7 months ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆147Updated 6 years ago
• spindro / GINN
  Graph Imputation Neural Network
  ☆79Updated 4 years ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• dhanajitb / GAIN-Pytorch
  Pytorch implementation of GAIN for missing data imputation
  ☆71Updated 11 months ago
• mkirchmeyer / ganRegression
  ☆33Updated 5 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆71Updated 5 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆37Updated 11 months ago
• TeaPearce / Deep_Learning_Prediction_Intervals
  ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
  ☆92Updated 4 years ago
• zjuwuyy-DL / Generative-Semi-supervised-Learning-for-Multivariate-Time-Series-Imputation
  ☆29Updated 3 years ago