# microsoft/AutonomousDrivingCookbook

Scenarios, tutorials and demos for Autonomous Driving

Repository: https://github.com/microsoft/AutonomousDrivingCookbook
Canonical: https://ross.abutalabs.com/products/autonomousdrivingcookbook
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: deep-learning, self-driving-car, autonomous-vehicles, tensorflow, cntk, keras, airsim, autonomous-driving, autonomous-driving-cookbook, microsoft, tutorial, simulation, car, microsoft-garage, robotics
Last push: 2025-08-25T19:22:56+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 38, release rhythm 35, longevity 100
- inputs: {"age_days": 3198, "days_push": 373, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2434, forks 566 (observed 2026-08-28T04:06:51.345563+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, simulation, reinforcement-learning
- domain: autonomous-vehicles, deep-learning, machine-learning, robotics, tutorials
- platform: python, cross-platform
- tags: autonomous-driving, airsim, behavioral-cloning, jupyter-notebooks, microsoft-garage, self-driving-cars, tutorials, gpu

## Member repositories
- microsoft/AutonomousDrivingCookbook (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:51.345563+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:31:09.034726+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/AutonomousDrivingCookbook (fetched 2026-08-28T04:06:51.345563+00:00, sha 33bf43aa0845)
- Data as of 2026-08-30T08:39:29.467469+00:00.