Alternatives and similar repositories for cWGAN-GP

Users that are interested in cWGAN-GP are comparing it to the libraries listed below

• LixiangHan / GANs-for-1D-Signal
  implementation of several GANs with pytorch
  ☆164Updated 3 years ago
• starhou / One-dimensional-GAN
  用GAN生成一维数据
  ☆124Updated 5 years ago
• imics-lab / tts-gan
  TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
  ☆280Updated last year
• Atrin78 / Attention-based-Time-Series-Generation
  A transformer guided GAN to generate synthetic time-series data.
  ☆33Updated 4 years ago
• ppjiong11 / VAE
  VAE-pytorch模型，可以在一维时间序列上训练并生成新的data
  ☆21Updated 2 years ago
• imics-lab / tts-cgan
  TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
  ☆82Updated 3 years ago
• zwzhang123 / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆104Updated 2 years ago
• alex-sh-yau / VAE
  Variational Autoencoder for generating financial time-series data
  ☆13Updated 6 years ago
• SujanNeupane42 / GANs_for_Tabular_data
  This repo contains PyTorch implementation of cGAN, cWGAN, and cWGAN-gp for tabular data.
  ☆15Updated last year
• proceduralia / pytorch-GAN-timeseries
  GANs for time series generation in pytorch
  ☆273Updated 6 years ago
• JustusvLiebig / Soft_Sensor_Experiments
  ☆93Updated 3 years ago
• EagerSun / DL-vs-Stat_Impute
  This is a thesis project about comparing imputation performances between deep learning methods and conventional statistical methods. In t…
  ☆18Updated last year
• gcucurull / cond-wgan-gp
  Pytorch implementation of a Conditional WGAN with Gradient Penalty
  ☆40Updated 5 years ago
• he-zh / vibration_gan
  Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
  ☆87Updated 4 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
• AlanDongMu / TimeGAN_PytorchRebuild
  Use pytorch to rebulid TimeGAN.
  ☆22Updated last year
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆126Updated 3 years ago
• archity / synthetic-data-gan
  Experimenting with generating synthetic data using ydata-synthetic
  ☆37Updated 4 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
• PyLink88 / Recurrent-Autoencoder
  Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection
  ☆28Updated 4 years ago
• BlingBlingss / VAE-CWGAN-GP
  Chiller Fault Diagnosis based on VAE Enabled Generative Adversarial Networks
  ☆45Updated 5 years ago
• tommyngx / Multi_TimeGAN
  Multivariate Time Series Imputation with Generative Adversarial Networks
  ☆11Updated 4 years ago
• CUN-bjy / lstm-vae-torch
  A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)
  ☆55Updated 2 years ago
• mehak25 / BiGAN
  ☆13Updated 4 years ago
• silence-club / DRSN-1D
  深度残差收缩网络处理一维时域信号
  ☆36Updated 2 years ago
• Nana0606 / autoencoder
  个人练习，自编码器及其变形（理论+实践）
  ☆343Updated 6 years ago
• yunyueye / MVMD
  Function for decomposing a signal according to the Multivariate Variational Mode Decomposition in Pytorch
  ☆27Updated 2 years ago
• AlaaSedeeq / Convolutional-GAIN
  An implementation to Convolutional generative adversarial imputation networks for spatio-temporal missing data Nets Paper (Conv-GAIN)
  ☆11Updated 3 years ago
• docShen / Satellite-Image-Prediction-Relying-on-GAN-and-LSTM-Neural-Networks
  Unofficial implementation Satellite Image Prediction Relying on GAN and LSTM Neural Networks
  ☆25Updated 3 years ago
• XiubenWu / GANFORCWRU
  New GAN models in dataset of CWRU
  ☆44Updated 3 years ago