A platform for reproducible world model research and evaluation
Conduct reproducible research on world models by collecting data, training, and evaluating across standardized environments.
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stable-worldmodel has 2k stars on GitHub. It has been forked 244 times. stable-worldmodel is written mainly in Python. It has been in active development since 2025. Its main topics are deep-learning, jepa, model-predictive-control, pytorch.
A platform for reproducible world model research and evaluation
stable-worldmodel is an open-source project.
Yes. stable-worldmodel is free and open source — you can use, modify and self-host it.
stable-worldmodel is written mainly in Python.
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