OpenTau

Contents:

  • Overview
  • Installation
  • QuickStart
  • Concepts
  • Tutorials
    • Training and Checkpointing
    • Inference
    • Evaluation
    • Benchmarking and Profiling
    • Deployment
    • Datasets
    • Attaching segment metadata to a LeRobot v2.1 dataset
    • Visualization of Datasets
    • Overview of RL Training
    • Collecting Human Demos
    • ROS Conversion
    • RoboCasa setup and evaluation
  • Models
  • How to contribute to OpenTau?

API Reference:

  • API Reference
OpenTau
  • Tutorials
  • View page source

Tutorials

This section provides step-by-step guides for common tasks in OpenTau, including training, inference, evaluation, and adding datasets.

Guides:

  • Training and Checkpointing
  • Inference
  • Evaluation
  • Benchmarking and Profiling
  • Deployment
  • Datasets
  • Attaching segment metadata to a LeRobot v2.1 dataset
  • Visualization of Datasets
  • Overview of RL Training
  • Collecting Human Demos
  • ROS Conversion
  • RoboCasa setup and evaluation
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