bccp / DeepUQ
Bayesian Uncertainty Quantification by Deep Generative Model
☆19Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepUQ
- ☆28Updated last year
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆14Updated 2 years ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆23Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 5 months ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆30Updated last year
- Coverage tests to check the quality of your posterior estimators.☆27Updated 3 months ago
- Learning Diffusion Priors from Observations by Expectation Maximization☆19Updated 3 months ago
- detecting anomalies in hyper suprime-cam images with generative adversarial networks☆10Updated 3 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆32Updated 2 years ago
- ☆16Updated 3 years ago
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆14Updated 2 years ago
- Cosmological map inference with deep learning