Alternatives and similar repositories for GANs_for_Tabular_data

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

• StoicGilgamesh / LSTM-GAN-
  The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.
  ☆37Updated 6 years ago
• zwzhang123 / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆106Updated 2 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 6 years ago
• viluiz / gan
  Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncerta…
  ☆47Updated last year
• georgehalal / cWGAN-GP
  A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties …
  ☆15Updated 3 years ago
• archity / synthetic-data-gan
  Experimenting with generating synthetic data using ydata-synthetic
  ☆37Updated 4 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
• Atrin78 / Attention-based-Time-Series-Generation
  A transformer guided GAN to generate synthetic time-series data.
  ☆33Updated 4 years ago
• mkirchmeyer / ganRegression
  ☆35Updated 6 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆29Updated 7 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 6 years ago
• paudelprabesh / Hyperparameter-Tuning-In-LSTM-Network
  Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.
  ☆43Updated 4 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 4 years ago
• proceduralia / pytorch-GAN-timeseries
  GANs for time series generation in pytorch
  ☆275Updated 6 years ago
• Mikubill / GAN-ConvLSTM
  GAN based ConvLSTM in precipitation prediction (Trial Version)
  ☆49Updated last year
• birdx0810 / timegan-pytorch
  This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
  ☆84Updated 3 years ago
• rohitash-chandra / MCMC_fnn_timeseries
  Bayesian Neural Network for Time Series Prediction
  ☆14Updated 8 years ago
• imics-lab / tts-gan
  TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
  ☆284Updated last year
• kaelzhang / DA-RNN-in-Tensorflow-2-and-PyTorch
  A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:…
  ☆31Updated last year
• JustusvLiebig / Soft_Sensor_Experiments
  ☆94Updated 3 years ago
• starhou / One-dimensional-GAN
  用GAN生成一维数据
  ☆124Updated 5 years ago
• devjwsong / lstm-bayesian-optimization-pytorch
  Bayesian Optimization implementation for text classifiction
  ☆23Updated last year
• YuntianChen / EnLSTM
  Ensemble long short-term memory. A gradient-free neural network that combines ensemble neural network and long short-term memory.
  ☆24Updated 4 years ago
• leizhang-geo / ST-CausalConvNet
  A spatiotemporal causal convolutional network for predicting air pollution.
  ☆71Updated 3 years ago
• KevinHooah / BayesianLSTM-for-Time-series-Prediction
  Bayesian LSTM for time-series prediction.
  ☆19Updated 5 years ago
• jinmang2 / LSTM-SAE
  Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)
  ☆26Updated last year
• flaviagiammarino / time-gan-tensorflow
  TensorFlow implementation of TimeGAN model for synthetic time series generation with generative adversarial networks.
  ☆33Updated last year
• Yashkataria / CGAN-for-time-series
  ☆44Updated 4 years ago
• lpphd / multivariate-attention-tcn
  ☆99Updated 2 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆119Updated 6 years ago