microsoft/AutonomousDrivingCookbook resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2434 stars · 566 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter Notebook tutorials, scenarios, and demos from Microsoft Garage for learning autonomous driving algorithms. It covers end-to-end deep learning with behavioral cloning and distributed reinforcement learning using the AirSim simulator.

Use cases

• learn autonomous driving with deep learning
• train a self-driving car model in simulation
• behavioral cloning tutorial for driving
• distributed reinforcement learning for driving policies
• get started with AirSim simulator
• onboard to autonomous vehicle AI development

When to choose

• you want hands-on notebooks to learn self-driving AI concepts
• you need simulation-based training examples with AirSim
• you are onboarding a team to autonomous driving ML

When to avoid

• you need a production-ready autonomous driving stack
• you require real-world vehicle integration
• you need actively updated tutorials for the latest frameworks

Facets

learning-resource · maturity maintenance

machine-learning deep-learning simulation reinforcement-learning autonomous-vehicles deep-learning machine-learning robotics tutorials python cross-platform autonomous-driving airsim behavioral-cloning jupyter-notebooks microsoft-garage self-driving-cars tutorials gpu

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markdown · JSON · MCP: product_card(name="microsoft/AutonomousDrivingCookbook")