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DreamDojo is an application repository for training and deploying world foundation models, particularly focused on robotics applications. The system provides end-to-end capabilities for training Cosmos Predict2 models, generating text/video-to-video outputs, action-conditioned video generation for robot control, and model distillation for efficient inference. It features a modular architecture with Hydra-based configuration, distributed training support (FSDP, tensor parallelism, context parallelism), and interactive Gradio demonstrations. The codebase includes sophisticated safety filtering mechanisms and is designed for deployment via Docker containers.
RATING:
MAINT: active
DRIFT: low
▸ 5 reusable components found
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