DI-drive provides a unified platform for running imitation learning, reinforcement learning, and GAIL algorithms in autonomous driving simulations. It integrates with driving simulators like CARLA and MetaDrive, and builds on the DI-engine reinforcement learning framework to train driving policies. The platform supports configurable scenarios and decision intelligence evaluation across different simulation environments.