mkirchmeyer / ganRegression
☆33Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for ganRegression
- Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"☆33Updated 2 years ago
- ☆17Updated 5 years ago
- Semi-supervised Regression GAN☆37Updated 4 years ago
- A toy example of VAE-regression network☆72Updated 4 years ago
- Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncerta…☆43Updated 11 months ago
- SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data☆39Updated 3 years ago
- Continuous Conditional Generative Adversarial Networks (CcGAN)☆124Updated last year
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆23Updated 5 years ago
- ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'☆91Updated 4 years ago
- Generative Adversarial Imputation Networks (GAIN) Pytorch version☆29Updated 6 years ago
- Bayesian, Uncertainty, Neutral Networks, LSTM, time series☆36Updated 4 years ago
- Collection of resources that combine dynamic systems, control with deep learning.☆24Updated 3 years ago
- A Multi-Output Regression Framework in Python☆30Updated 3 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆127Updated last year
- Pytorch implementations of various types of autoencoders☆67Updated 5 years ago
- pytorch implementation of GAN and Conditional GAN☆16Updated 6 years ago
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆32Updated last year
- Adversarial autoencoder (basic/semi-supervised/supervised)☆26Updated 2 years ago
- Conditional Wasserstein GANs☆71Updated 6 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆29Updated 3 years ago
- Kriging Convolutional Networks (KCN) in Tensoflow☆39Updated last year
- Implementation of a Conditional Variational Auto-Encoder GAN in pytorch☆42Updated 3 years ago
- Improved training of Wasserstein GANs☆46Updated 3 years ago
- A pytorch implementation of WGAN-GP☆23Updated 5 years ago
- Multivariate Time Series Imputation with Generative Adversarial Networks☆10Updated 3 years ago
- Bayesian Neural Network in PyTorch☆80Updated 6 months ago
- ☆23Updated 2 years ago
- ☆16Updated 6 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆110Updated 4 years ago
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆23Updated 3 years ago