Example Gallery¶
Interactive notebook examples rendered directly from the repository. Each notebook runs end-to-end and demonstrates a complete UQ workflow.
Core UQ Methods¶
| Notebook | Method | Domain |
|---|---|---|
| MC Dropout | MC Dropout | Beam regression |
| SGLD | MCMC / SGLD | Beam regression |
| Bayes by Backprop | Variational Inference | Regression |
| Laplace Comparison | Laplace Approximation | Multi-structure comparison |
More Notebooks¶
The full notebook collection lives in the notebooks/ directory, covering:
- Deep Ensembles (homoscedastic, heteroscedastic, multi-output, classification)
- Variational Inference (BBB, heteroscedastic, multi-output, last-layer)
- Scientific ML (DeepONet, FNO, Graph Operators, PINNs, CNNs, U-Nets)
- Gaussian Processes (exact, sparse, classification, multi-task, deep kernel)
- Conditional Diffusion Models