DeepPhysX

DeepPhysX

The purpose of DeepPhysX framework is to provide an interface between deep learning algorithms and numerical simulations. It is a full Python project with two main pipelines, allowing both to train artificial neural networks with simulated data and to use trained...

Optimus

The Optimus plugin was created to provide a testing environment for data-driven physics-based modeling (typically based on the finite element method). While the plugin currently implements only stochastic methods based on Kalman filtering, its architecture allows for...