Tutorials

On this page, you will find tutorials and insights on TorchUncertainty. Don’t hesitate to open an issue if you have any question or suggestion for tutorials.

Training a LeNet with Monte-Carlo Dropout

Training a LeNet with Monte-Carlo Dropout

Improve Top-label Calibration with Temperature Scaling

Improve Top-label Calibration with Temperature Scaling

Training a LeNet with Monte Carlo Batch Normalization

Training a LeNet with Monte Carlo Batch Normalization

Train a Bayesian Neural Network in Three Minutes

Train a Bayesian Neural Network in Three Minutes

Deep Evidential Regression on a Toy Example

Deep Evidential Regression on a Toy Example

Deep Evidential Classification on a Toy Example

Deep Evidential Classification on a Toy Example

Deep Probabilistic Regression

Deep Probabilistic Regression

Corrupting Images with TorchUncertainty to Benchmark Robustness

Corrupting Images with TorchUncertainty to Benchmark Robustness

From a Standard Classifier to a Packed-Ensemble

From a Standard Classifier to a Packed-Ensemble

Improved Ensemble parameter-efficiency with Packed-Ensembles

Improved Ensemble parameter-efficiency with Packed-Ensembles