ericdugan Goto Github PK
Type: User
Location: The Woodlands, TX
Type: User
Location: The Woodlands, TX
A curated, public list collecting resources for biomechanics and human motion: datasets, processing tools, software for simulation, educational videos, lectures, etc.
One day course on causal inference, MPI-EVA 9 September 2021
Confidence and prediction intervals for 0D and 1D data
Code to accompany the manuscript on continuous relative phase analysis of gait over irregular surfaces
A repository for Data Science Course
The Leek group guide to data sharing
Plotting Assignment 1 for Exploratory Data Analysis
Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"
MATLAB FDA repository developed by Jim Ramsay (his original code)
Material associated with the 2018 Dublin seminar: "Advanced statistical analysis of biomechanical time series: PCA, FDA and SPM"
Reliability measures for functional data
elastic fda python code
R package to detect features/pattern/deviations in kinematics curves from gait analysis
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
Data and code for analysis presented in Sensors journal manuscript titled "Optimization of IMU Sensor Placement for the Measurement of Lower Limb Joint Kinematics" by W. Niswander, W. Wang, and K. Kontson.
Explaining the unique nature of individual gait patterns with deep learning
Functional data analysis of countermovement jump data. It creates linear models from component scores based on a range of data processing techniques, including curve registration.
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
This repository contains additional resources to the article "Multidimensional Recurrence Quantification Analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its application to group-level data in joint action", Frontiers in Psychology, by Wallot, Roepstorff & Mønster, as well as to the article "Analyzing Multivariate Dynamics Using Cross-Recurrence Quantification Analysis (CRQA), Diagonal-Cross-Recurrence Profiles (DCRP), and Multidimensional Recurrence Quantification Analysis (MdRQA) – A Tutorial in R" by Wallot & Leonardi
Open-source and cross-platform software to easily analyze biomechanical data
Manual one-dimensional data warping and nonlinear registration in Python and PyQt
Neuromechanics_Course_2020
Code and data associated with nonlinear registration paper
2d & 3d graphical representations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.