Alternatives and similar repositories for ganRegression:

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

• joeloskarsson / CGAN-regression
  Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"
  ☆36Updated 2 years ago
• golmschenk / sr-gan
  Semi-supervised Regression GAN
  ☆39Updated 4 years ago
• kaggarwal / ganRegression
  ☆17Updated 5 years ago
• lethaiq / GAIN
  Generative Adversarial Imputation Networks (GAIN) Pytorch version
  ☆29Updated 6 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 4 years ago
• viluiz / gan
  Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncerta…
  ☆45Updated 5 months ago
• UBCDingXin / improved_CcGAN
  Continuous Conditional Generative Adversarial Networks (CcGAN)
  ☆132Updated last year
• tufts-ml / KCN
  Kriging Convolutional Networks (KCN) in Tensoflow
  ☆44Updated last year
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆113Updated 4 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆28Updated 2 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆138Updated 2 years ago
• TeaPearce / Deep_Learning_Prediction_Intervals
  ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
  ☆90Updated 5 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆46Updated last year
• tankwin08 / Bayesian_uncertainty_LSTM
  Bayesian, Uncertainty, Neutral Networks, LSTM, time series
  ☆39Updated 4 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆81Updated last year
• Nidhi08 / GANs-for-imbalanced-data-generation
  ☆17Updated 6 years ago
• arturml / pytorch-wgan-gp
  A pytorch implementation of WGAN-GP
  ☆23Updated 6 years ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆155Updated 2 years ago
• edebrouwer / latentCCM
  Implementation of the Latent CCM paper
  ☆14Updated 11 months ago
• johaupt / GANbalanced
  ☆18Updated 5 years ago
• yantijin / dynamic-systems-DL
  Collection of resources that combine dynamic systems, control with deep learning.
  ☆26Updated 3 years ago
• aleximmer / heteroscedastic-nn
  Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)
  ☆20Updated last month
• arkadaw9 / PGA_LSTM
  Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling
  ☆23Updated 5 years ago
• rcamino / imputation-dgm
  Code for the paper "Improving Missing Data Imputation with Deep Generative Models"
  ☆32Updated 6 years ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 4 years ago
• Lornatang / WassersteinGAN_GP-PyTorch
  Improved training of Wasserstein GANs
  ☆47Updated 3 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆38Updated last year
• FelixOpolka / Deep-Gaussian-Process
  🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
  ☆27Updated last year
• singh-ml / fsnet
  ☆16Updated 4 years ago
• ermongroup / ssdkl
  Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
  ☆76Updated 6 years ago