Alternatives and similar repositories for CGAN-for-time-series

Users that are interested in CGAN-for-time-series are comparing it to the libraries listed below

• proceduralia / pytorch-GAN-timeseries
  GANs for time series generation in pytorch
  ☆276Updated 5 years ago
• numancelik34 / TimeSeries-GAN
  Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.
  ☆113Updated 5 years ago
• zzw-zwzhang / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆98Updated 2 years ago
• lpphd / multivariate-attention-tcn
  ☆97Updated 2 years ago
• abudesai / timeVAE
  TimeVAE implementation in keras/tensorflow
  ☆155Updated 3 months ago
• benearnthof / TimeGAN
  A pytorch implementation of Time-series Generative Adversarial Networks (https://github.com/jsyoon0823/TimeGAN)
  ☆59Updated 3 years ago
• birdx0810 / timegan-pytorch
  This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
  ☆83Updated 2 years ago
• flaviagiammarino / time-gan-tensorflow
  TensorFlow implementation of TimeGAN model for synthetic time series generation with generative adversarial networks.
  ☆32Updated last year
• 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.
  ☆173Updated 2 years ago
• imics-lab / tts-cgan
  TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
  ☆80Updated 2 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆176Updated 8 months ago
• imics-lab / tts-gan
  TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
  ☆272Updated last year
• benman1 / time-series
  Time-Series models for multivariate and multistep forecasting, regression, and classification
  ☆62Updated 3 years ago
• ermshaua / time-series-segmentation-benchmark
  This repository contains the time series segmentation benchmark (TSSB).
  ☆73Updated 3 months ago
• StoicGilgamesh / LSTM-GAN-
  The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.
  ☆39Updated 6 years ago
• gioramponi / GAN_Time_Series
  A model to generate time series data with the purpose of augmenting a dataset of various time series.
  ☆63Updated 5 years ago
• firmai / mtss-gan
  MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
  ☆94Updated 4 years ago
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆185Updated 6 years ago
• houshd / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆103Updated 6 years ago
• Atrin78 / Attention-based-Time-Series-Generation
  A transformer guided GAN to generate synthetic time-series data.
  ☆33Updated 3 years ago
• ChangWeiTan / TS-Extrinsic-Regression
  This repository contains the source code for time series regression.
  ☆102Updated last year
• alex-sh-yau / VAE
  Variational Autoencoder for generating financial time-series data
  ☆12Updated 6 years ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆150Updated 6 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆192Updated 6 years ago
• SigCGANs / Conditional-Sig-Wasserstein-GANs
  ☆134Updated last year
• NshanPotikyan / TransferLearningTimeSeries
  Transfer Learning for Time Series Prediction Task
  ☆104Updated 6 years ago
• abudesai / syntheticdatagen
  synthetic data generation of time-series data
  ☆27Updated 3 years ago
• dhanajitb / GAIN-Pytorch
  Pytorch implementation of GAIN for missing data imputation
  ☆74Updated last year
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆260Updated last year
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆35Updated 5 years ago