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
  ☆273Updated 6 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 3 years ago
• numancelik34 / TimeSeries-GAN
  Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.
  ☆115Updated 5 years ago
• zwzhang123 / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆104Updated 2 years ago
• birdx0810 / timegan-pytorch
  This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
  ☆84Updated 3 years ago
• imics-lab / tts-gan
  TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
  ☆280Updated last year
• lpphd / multivariate-attention-tcn
  ☆98Updated 2 years ago
• benearnthof / TimeGAN
  A pytorch implementation of Time-series Generative Adversarial Networks (https://github.com/jsyoon0823/TimeGAN)
  ☆60Updated 4 years ago
• abudesai / timeVAE
  TimeVAE implementation in keras/tensorflow
  ☆161Updated 8 months ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 4 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆194Updated 6 years ago
• firmai / mtss-gan
  MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
  ☆94Updated 5 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆262Updated last year
• alex-sh-yau / VAE
  Variational Autoencoder for generating financial time-series data
  ☆13Updated 6 years ago
• flaviagiammarino / time-gan-tensorflow
  TensorFlow implementation of TimeGAN model for synthetic time series generation with generative adversarial networks.
  ☆33Updated last year
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 6 years ago
• SigCGANs / Conditional-Sig-Wasserstein-GANs
  ☆135Updated last year
• houshd / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆103Updated 6 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆181Updated last year
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆150Updated 6 years ago
• shashwattrivedi / TimeSeriesTransformerLSTM
  ☆26Updated 6 years ago
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆182Updated 7 years ago
• imics-lab / tts-cgan
  TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
  ☆82Updated 3 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
• benman1 / time-series
  Time-Series models for multivariate and multistep forecasting, regression, and classification
  ☆62Updated 3 years ago
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆140Updated 3 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆139Updated 4 years ago
• archity / synthetic-data-gan
  Experimenting with generating synthetic data using ydata-synthetic
  ☆37Updated 4 years ago
• NellyElsayed / GRU-FCN-model-for-univariate-time-series-classification
  GRU-FCN model for univariate time series classification
  ☆26Updated 6 years ago
• StoicGilgamesh / LSTM-GAN-
  The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.
  ☆38Updated 6 years ago