Alternatives and similar repositories for CGAN-regression

Users that are interested in CGAN-regression are comparing it to the libraries listed below

• mkirchmeyer / ganRegression
  ☆35Updated 5 years ago
• kaggarwal / ganRegression
  ☆17Updated 5 years ago
• UBCDingXin / improved_CcGAN
  Continuous Conditional Generative Adversarial Networks (CcGAN)
  ☆131Updated last year
• docShen / Satellite-Image-Prediction-Relying-on-GAN-and-LSTM-Neural-Networks
  Unofficial implementation Satellite Image Prediction Relying on GAN and LSTM Neural Networks
  ☆25Updated 2 years ago
• viluiz / gan
  Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncerta…
  ☆45Updated 6 months ago
• SteiMi / density-based-weighting-for-imbalanced-regression
  Code for the paper "Density-based weighting for imbalanced regression". Contains an implementation for our imbalanced regression method a…
  ☆32Updated 3 years ago
• JoshuaEbenezer / cwgan
  Conditional Wasserstein Generative Adversarial Network for image-to-image translation.
  ☆25Updated 5 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 5 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆28Updated 2 years ago
• arkadaw9 / PGA_LSTM
  Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling
  ☆23Updated 5 years ago
• sltzgs / xai-regression
  ☆28Updated 4 months ago
• chendaichao / VAE-pytorch
  Pytorch implementation for VAE and conditional VAE.
  ☆36Updated 4 years ago
• arkadaw9 / PGNN
  Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
  ☆109Updated 3 years ago
• DowellChan / ResNetRegression
  optimal deep residual regression model
  ☆38Updated 5 years ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆108Updated 3 years ago
• VSainteuf / lightweight-temporal-attention-pytorch
  A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification
  ☆107Updated 4 years ago
• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 4 years ago
• leehyeonbeen / TimeSeriesSeq2Seq
  Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch
  ☆18Updated last year
• qingluM / CDAR
  The source code for "Deep transfer learning for conditional shift in regression"
  ☆19Updated 3 years ago
• rsyamil / cnn-regression
  A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
  ☆48Updated 4 years ago
• MinNamgung / sa_convlstm
  Base-line model
  ☆17Updated 3 years ago
• SujanNeupane42 / GANs_for_Tabular_data
  This repo contains PyTorch implementation of cGAN, cWGAN, and cWGAN-gp for tabular data.
  ☆14Updated last year
• lonestar686 / AdaptiveFourierNeuralOperator
  ☆27Updated 3 years ago
• Aalto-QuML / ClimODE
  ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
  ☆95Updated 2 months ago
• arturml / pytorch-wgan-gp
  A pytorch implementation of WGAN-GP
  ☆23Updated 6 years ago
• tommyngx / Multi_TimeGAN
  Multivariate Time Series Imputation with Generative Adversarial Networks
  ☆11Updated 4 years ago
• seb5666 / cnn_gaussian_process_uncertainty
  Use Gaussian processes to estimate CNN classification uncertainty
  ☆12Updated 7 years ago
• tcapelle / cloud_diffusion
  Diffusion on the Clouds: Short-term solar energy forecasting with Diffusion Models
  ☆43Updated last year
• Lornatang / WassersteinGAN_GP-PyTorch
  Improved training of Wasserstein GANs
  ☆47Updated 3 years ago
• french-paragon / BayesianNeuralNetwork-Tutorial-Metarepos
  A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…
  ☆128Updated 3 years ago