Contents Menu Expand Light mode Dark mode Auto light/dark mode
TorchUQ Documentation
TorchUQ Documentation
  • Installation
  • Quick Start
  • Overview
  • API Reference
    • torchuq.evaluate Subpackage
    • torchuq.dataset Subpackage
    • torchuq.transform Subpackage
  • 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

TorchUQ Documentation¶

TorchUQ is a library for uncertainty quantification based on PyTorch.

User Guide¶

  • Installation
  • Quick Start
  • Overview
  • API Reference
  • Tutorials
Next
Installation
Copyright © 2021, TorchUQ team | Created using Sphinx and @pradyunsg's Furo theme. | Show Source
Contents
  • TorchUQ Documentation
    • User Guide