Alternatives and similar repositories for CGAN-regression:

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

• mkirchmeyer / ganRegression
  ☆34Updated 5 years ago
• kaggarwal / ganRegression
  ☆17Updated 5 years ago
• UBCDingXin / improved_CcGAN
  Continuous Conditional Generative Adversarial Networks (CcGAN)
  ☆132Updated last year
• viluiz / gan
  Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncerta…
  ☆44Updated 3 months ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 4 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 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
  ☆24Updated 2 years ago
• DowellChan / ResNetRegression
  optimal deep residual regression model
  ☆37Updated 5 years ago
• JoshuaEbenezer / cwgan
  Conditional Wasserstein Generative Adversarial Network for image-to-image translation.
  ☆25Updated 4 years ago
• qingluM / CDAR
  The source code for "Deep transfer learning for conditional shift in regression"
  ☆19Updated 3 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆28Updated 2 years ago
• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 3 years ago
• golmschenk / sr-gan
  Semi-supervised Regression GAN
  ☆39Updated 4 years ago
• Pongpisit-Thanasutives / Multi-task-Physics-informed-neural-networks
  ☆25Updated 2 years ago
• adapt-python / adapt
  Awesome Domain Adaptation Python Toolbox
  ☆327Updated 4 months ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆102Updated 3 years ago
• arkadaw9 / PGA_LSTM
  Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling
  ☆23Updated 5 years ago
• tankwin08 / Bayesian_uncertainty_LSTM
  Bayesian, Uncertainty, Neutral Networks, LSTM, time series
  ☆38Updated 4 years ago
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆114Updated 3 years ago
• rsyamil / cnn-regression
  A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
  ☆44Updated 4 years ago
• pranjaldatta / Denoising-Autoencoder-in-Pytorch
  A Pytorch Implementation of a denoising autoencoder.
  ☆44Updated 5 years ago
• UCI-ML-course-team / gan-manifold-regularization-PyTorch
  PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].
  ☆20Updated 4 years ago
• Yashkataria / CGAN-for-time-series
  ☆45Updated 4 years ago
• rsyamil / timeseries-rnn
  Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts usin…
  ☆30Updated last year
• StefanBloemheuvel / GCNTimeseriesRegression
  Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
  ☆35Updated last year
• 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
• julianstastny / VAE-ResNet18-PyTorch
  A Variational Autoencoder based on the ResNet18-architecture
  ☆119Updated 6 years ago
• dtneves / ICCS_2021
  Codebase for "SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation"
  ☆16Updated 3 years ago
• MarcCoru / crop-type-mapping
  Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
  ☆159Updated 8 months ago
• lixixibj / forecasting-with-time-series-imaging
  time series forecasting with image
  ☆45Updated last year