by robin | Jul 11, 2022
The caribou project is aimed at multiphysics computation. It brings a plugin that complements SOFA multiphysics framework. It also provides generic C++ utilities, and SOFA components such as solvers and forcefields. The project is composed of two modules: the Caribou...
by robin | Jul 11, 2022
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...
by robin | Jul 11, 2022
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...
by robin | Jul 8, 2022
SOFA is an efficient and accurate simulation framework written in C++, developed by our team and researchers from a couple of other Inria teams. It is one of the few open source frameworks for the simulation of heterogeneous mechanical systems. It is particularly...
by robin | Jul 11, 2022
The objective of this plugin is to embed a python interpreter into a SOFA based simulation. It includes several python modules that expose many C++ components used in SOFA. The binding is designed to be an idiomatic Python3 API with tight integration for numpy. This...
