Pinned Repositories
MatlabStaticOptimization
Custom static optimization implementation that allows for flexible cost terms, such as EMG tracking, as well as the incorporation of passive muscle forces and tendon compliance.
mobile-gaitlab
mobilize-tutorials
Mobilize Center Tutorials
mocopaper
Generate the results for the publication on OpenSim Moco.
opencap-core
Main OpenCap processing pipeline
opencap-processing
Utilities for processing OpenCap data.
osim-rl
Reinforcement learning environments with musculoskeletal models
osimpipeline
Python framework for generating scientific workflows with the OpenSim musculoskeletal modeling and simulation software package. Built on Python DoIt (http://pydoit.org/), osimpipeline handles the organization of input and output files for generating simulations and results in a clean, repeatable manner.
predictKAM
Predict the knee adduction moment using motion capture marker positions.
sit2stand-analysis
Stanford Neuromuscular Biomechanics Laboratory's Repositories
stanfordnmbl/osim-rl
Reinforcement learning environments with musculoskeletal models
stanfordnmbl/predictKAM
Predict the knee adduction moment using motion capture marker positions.
stanfordnmbl/video-pipelines
stanfordnmbl/knee_OA_staging
stanfordnmbl/neurips2019-learning-to-move-starter-kit
stanfordnmbl/gaitlab
stanfordnmbl/kneenet-local-instructions
stanfordnmbl/mocoshlo
Utility for running OpenSim Moco on Stanford's Sherlock cluster.
stanfordnmbl/optctrlmuscle
Optimal control approach to solving the muscle redundancy problem. Code expanded upon from the SimTK project located here: https://simtk.org/projects/optcntrlmuscle. Additional software required as described in the included Manual.