microsoft/AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving
Leverages AirSim simulation for data generation across diverse scenarios (weather, lighting) and uses behavioral cloning with end-to-end deep learning and distributed reinforcement learning approaches. Content delivered as self-contained Jupyter notebooks with datasets and helper scripts, integrating TensorFlow, Keras, and Azure cloud services for training autonomous driving models with minimal setup overhead.
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Last pushed
Aug 25, 2025
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