SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.

A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.

Open Source Software for Predictive Simulation of Biological Motion.

An OpenAI-Gym Package for Training and Testing Reinforcement Learning algorithms with OpenSim Models

Open library of musculoskeletal models and examples ready to be used with the AnyBody Modelling System.

Scripts and models to optimize musculotendon parameters in musculoskeletal models.

Future version of the AnyBody Managed Model Repository with a full thoracic spine model.

In this repository, we try to solve musculoskeletal tasks with `Double DQN reinforcement learning` by using a `transformer` model has been used as the base model architecture.

Modeling the dynamics and kinematics of a basic rigid body version of the human hand, involving bones, muscles, tendons, and skin

Cocofest is an optimal control python package for functional electrical stimulation models

Data (bone geometries and gait analysis data) and scripts to reproduce the results and figures of the scientific publication specified in the README file.

Reproducibility package (repropack) for generating all the models, results and figures included in the referenced publication. We investigated the effect of femoral anteversion on the joint reactions of the lower limb and compared the results against the in vivo loading measured by an instrumented prosthesis (Grand Challenge Dataset).

Predictive simulations of walking in children with cerebral palsy

This is the code used for the paper submission for the exotendon simulation study.

Adult-Child Musculoskeletal Model and Motion Analysis.

Cocofest is an optimal control python package for functional electrical stimulation models

DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems

Real-time force estimation for the lower leg muscles using a Hill-type model and a distributed network of wearable sensors

The MuscularModel class is an abstract class that uses the classes (Muscle, Bone, Weight, Nail, Hinge and Glue) to manage a muscular and skeletal model simulation with the help of the library PBox2D by Daniel Shiffman.

This code uses the MuscularModel classes and other code to create a workstation that allows to simulate a model, control it via a GUI, and observe a graph that is plotted with real-time values of the model with the class LiveGraph