joeloskarsson / CGAN-regression
Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"
☆35Updated 2 years ago
Alternatives and similar repositories for CGAN-regression:
Users that are interested in CGAN-regression are comparing it to the libraries listed below
- ☆33Updated 5 years ago
- ☆17Updated 5 years ago
- Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncerta…☆44Updated 2 months ago
- Continuous Conditional Generative Adversarial Networks (CcGAN)☆132Updated last year
- A toy example of VAE-regression network☆72Updated 4 years ago
- Code for the paper "Density-based weighting for imbalanced regression". Contains an implementation for our imbalanced regression method a…☆32Updated 3 years ago
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆23Updated 3 years ago
- ☆26Updated 3 weeks ago
- SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data☆40Updated 3 years ago
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆23Updated 5 years ago
- optimal deep residual regression model☆37Updated 5 years ago
- pytorch implementation of GAN and Conditional GAN☆16Updated 6 years ago
- Semi-supervised Regression GAN☆38Updated 4 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆119Updated 6 years ago
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆105Updated 3 years ago
- ☆45Updated 3 years ago
- Bayesian, Uncertainty, Neutral Networks, LSTM, time series☆38Updated 4 years ago
- Unofficial implementation Satellite Image Prediction Relying on GAN and LSTM Neural Networks☆24Updated 2 years ago
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Updated last year
- implementation of several GANs with pytorch☆151Updated 2 years ago
- Pytorch implementation for VAE and conditional VAE.☆33Updated 4 years ago
- An implementation of Deep Generative Model of Radars from DeepMind in PyTorch☆42Updated 2 years ago
- Data Augmentation optimized for GAN☆55Updated 4 years ago
- A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.☆43Updated 4 years ago
- time series forecasting with image☆45Updated last year
- Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …☆25Updated last year
- Exploring Moving Mnist dataset with forecasting algorithms☆31Updated last year
- This repo contains the 3D implementation of the commonly used attention mechanism for imaging.☆44Updated 2 years ago
- The imbalanced regression method DenseWeight produces sample weights for data points in regression tasks so that there is a higher emphas…☆38Updated 3 years ago
- ☆99Updated 3 years ago