OpenDCAI/OpenWorldLib
A unified Python codebase for building advanced world models that simulate environments for planning and decision-making.
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This repository provides a unified implementation framework for advanced world models—predictive systems that learn to simulate environments. It integrates diffusion models, vision-language models (VLM), and vision-language-action models (VLA) for generating and predicting 3D scenes, videos, and agent behaviors. The project includes extensions for 3D generation, robotics/VLA applications, and simulation environments.
Frequently asked
- What is OpenDCAI/OpenWorldLib?
- A unified Python codebase for building advanced world models that simulate environments for planning and decision-making.
- Is OpenWorldLib open source?
- Yes — OpenDCAI/OpenWorldLib is open source, released under the Apache-2.0 license.
- What language is OpenWorldLib written in?
- OpenDCAI/OpenWorldLib is primarily written in Python.
- How popular is OpenWorldLib?
- OpenDCAI/OpenWorldLib has 844 stars on GitHub.
- Where can I find OpenWorldLib?
- OpenDCAI/OpenWorldLib is on GitHub at https://github.com/OpenDCAI/OpenWorldLib.