kaggarwal / ganRegression
☆17Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for ganRegression
- ☆33Updated 5 years ago
- Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"☆33Updated 2 years ago
- Continuous Conditional Generative Adversarial Networks (CcGAN)☆124Updated last year
- ☆23Updated 2 years ago
- A Multi-Output Regression Framework in Python☆30Updated 3 years ago
- Semi-supervised Regression GAN☆37Updated 4 years ago
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆23Updated 5 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆29Updated 3 years ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆30Updated 3 years ago
- A toy example of VAE-regression network☆72Updated 4 years ago
- ☆21Updated 3 years ago
- A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties …☆13Updated 2 years ago
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆23Updated 3 years ago
- Python implementation of domain-invariant partial least squares regression (di-PLS)☆20Updated 2 weeks ago
- Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"☆20Updated 4 years ago
- ☆20Updated 5 months ago
- Hyperpatameter Bayesian Optimization for Image Classification in PyTorch☆12Updated 5 years ago
- A simple MATLAB regression toolbox☆16Updated 2 years ago
- ☆40Updated 5 years ago
- Physics-informed learning of governing equations from scarce data☆10Updated 3 years ago
- A set of functions for well-known Cumulative Distribution Function (CDF)-based distance measure☆13Updated 10 months ago
- A package to compute the Continuous Ranked Probability Score (crps) (Matheson and Winkler, 1976; Hersbach, 2000), the fair-crps (fcrps) (…☆17Updated 2 years ago
- SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data☆39Updated 3 years ago
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆105Updated 3 years ago
- The source code for "Deep transfer learning for conditional shift in regression"☆16Updated 3 years ago
- Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)☆37Updated 4 months ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆69Updated last year
- Code for paper Extended Multiplicative Signal Augmentation: An alternative to pre-processing of infrared spectra☆13Updated 3 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆89Updated last year
- Multi-output Gaussian process regression via multi-task neural network☆13Updated 4 years ago