Tutorials

This section contains TorchUQ tutorials.

• Tutorial 1.a: Representing and Evaluating Uncertainty for Regression
• Tutorial 1.b: Learning Uncertainty Representations from Data with Gradient Descent
• Tutorial 1.c.1 Conformal (Interval) Prediction: From any Prediction to Valid Intervals
• Tutorial 2.a: Representing and Evaluating Uncertainty for Classification
• Tutorial 2.b: Learning Calibrated Probabilities: The Basics