DeepPhysX

Interfacing AI with simulation

The DeepPhysX project provides Python packages allowing users to easily interface their numerical simulations with learning algorithms.

DeepPhysX is mainly designed for SOFA and PyTorch frameworks, but other simulation frameworks can also be used.

The project is closely linked to the SSD and SimRender external Python libraries.

Let’s get started

To better understand the architecture of DeepPhysX, reading the above sections is highly recommended:

• About → A quick summary of DeepPhysX features.

Then, to start using DeepPhysX, please refer to the Install section to configure your own DeepPhysX installation. A tutorial is provided to learn how to use the package.

Finally, to go further in understanding some components of DeepPhysX, refer to the associated section.