This repository curates links to tutorials, code samples, and projects related to the CARLA open-source autonomous driving simulator. It organizes resources across reinforcement learning, imitation learning, multi-agent systems, object detection, semantic segmentation, and data collection workflows. Researchers and developers use CARLA to train and validate deep learning models for self-driving vehicles in simulated environments.