han-li-jun

han-li-jun's Stars

• dennybritz/reinforcement-learning

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

  Language:Jupyter Notebook20.7k8641556.1k

• maziarraissi/PINNs

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

  Language:Python4.1k121551.3k

• stanfordnmbl/osim-rl

  Reinforcement learning environments with musculoskeletal models

  Language:Python89852173249

• MyoHub/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.

  Language:Python86927118114

• perfanalytics/pose2sim

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

  Language:Python2801311451

• martius-lab/depRL

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

  Language:Python2514821

• stanfordnmbl/opencap-core

  Main OpenCap processing pipeline

  Language:Python1651690135

• hzwer/NIPS2017-LearningToRunACE

  2nd place solution of NIPS2017 LearningToRun Competition.

  Language:Python1257928

• MyoHub/myo_sim

  Musculoskeletal Models in MuJoCo

  Language:Python858828

• Scitator/Run-Skeleton-Run

  Reason8.ai PyTorch solution for NIPS RL 2017 challenge

  Language:Python846314

• larocs/EMG-GAN

  GANs for generating EMG signals

  Language:Python735523

• MyoHub/myoconverter

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

  Language:Python705155

• tczhangzhi/PyTorch-GANSER

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

  Language:Jupyter Notebook66326

• nnaisense/2017-learning-to-run

  The Winning Solution for the Learning To Run Challenge 2017

  Language:Python60709

• ctmakro/stanford-osrl

  NIPS2017 challenge

  Language:Python474512

• CMGreenspon/NCams

  Toolbox for using multiple cameras from intrinsic calculations to reconstructing kinematics

  Language:Python39846

• UtkarshMishra04/bioimitation-gym

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

  Language:Python28534

• hsaal/touchsim

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

  Language:Python1811210

• BensmaiaLab/touchSim

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

  Language:MATLAB14508

• ptr-h/EEG-GANs

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

  Language:Python13104

• amathislab/myochallenge-lattice

  Repository for 2023 myochallenge submissions

  Language:HTML12324

• PKU-MARL/MyoChallenge

  Language:Python12100

• EyalMaoz/Pinch_Rehabilitation_VR_Personalized_Treatment

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

  Language:C#8301

• MahanFathi/Unity2OpenSim

  Regenerate Movements of Unity w/ OpenSim

  Language:Python7101

• s2mLab/opensim_static_optimization_python

  A python implementation of a static optimization using OpenSim

  Language:Python7301

• BensmaiaLab/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

  Language:MATLAB53

• anastasiasenyk/estimating_joint_stiffness

  Estimating joint stiffness using OpenSim and Python

  Language:Python31

• bigface0202/OpenSim

  OpenSim tools

  Language:Python30

• li0516/opensim-rl

  Language:Python2

• joeycsare/Opensim2Unity

  Language:ShaderLab1