han-li-jun

han-li-jun

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myochallenge-lattice

Repository for 2023 myochallenge submissions

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myoconverter

A tool to convert opensim 4.0+ MSK models into MuJoCo format with optimized muscle kinematics and kinetics

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bioimitation-gym

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

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pose2sim

Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion

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Unity2OpenSim

Regenerate Movements of Unity w/ OpenSim

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PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

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opensim_static_optimization_python

A python implementation of a static optimization using OpenSim

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OpenSim

OpenSim tools

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estimating_joint_stiffness

Estimating joint stiffness using OpenSim and Python

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osim-rl

Reinforcement learning environments with musculoskeletal models

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Run-Skeleton-Run

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

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myo_sim

Musculoskeletal Models in MuJoCo

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myosuite

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

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depRL

Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems

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Pinch_Rehabilitation_VR_Personalized_Treatment

VR Application for personalized pinch rehabilitation, Final project in Software Engineering B.Sc.

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opencap-core

Main OpenCap processing pipeline

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2017-learning-to-run

The Winning Solution for the Learning To Run Challenge 2017

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NIPS2017-LearningToRunACE

2nd place solution of NIPS2017 LearningToRun Competition.

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stanford-osrl

NIPS2017 challenge

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touchMime

Matlab based GUI application that can generate a model to compute the firing rate and area of afferent activation from a dynamic stimulus applied to a localized patch of skin

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NCams

Toolbox for using multiple cameras from intrinsic calculations to reconstructing kinematics

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touchSim

TouchSim is a simulation of the responses of every afferent innervating the glabrous skin of the hand.

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touchsim

A Python implementation of the TouchSim model to simulate peripheral tactile responses.

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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EMG-GAN

GANs for generating EMG signals

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EEG-GANs

Using DCGAN, WGAN & WGAN-GP in Augmentation of EEG data for BCIs

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PyTorch-GANSER

Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"

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