0todd0000 Goto Github PK
Name: Todd Pataky
Type: User
Company: Kyoto University
Location: Kyoto, Japan
Name: Todd Pataky
Type: User
Company: Kyoto University
Location: Kyoto, Japan
Bayesian inverse kinematics
A utility package for running Blender scripts from outside of Blender.
Notes on Scientific Computing for Biomechanics and Motor Control
Confidence and prediction intervals for 0D and 1D data
Simulated univariate one-dimensional datasets
Code for detrending and analyzing single-subject experiments involving 1D data
Material associated with the 2018 Dublin seminar: "Advanced statistical analysis of biomechanical time series: PCA, FDA and SPM"
False discovery rate (FDR) inferences for one-dimensional (1d) data
Finite element visualizations in Blender through Python scripting.
Plantar pressure reporting considerations
Materials for the "Statistics and Biomechanics" tutorial at ISB 2019
Numerical comparison of Interval-Wise Testing (IWT) and Statistical Parametric Mapping (SPM) for the analysis of simulated and experimental one-dimensional data
The purpose of this repository is to evaluate the "LAAST" methodology proposed in Niiler (2020)
Landmark-free hypothesis tests regarding two-dimensional shapes (data and scripts repository)
MUN104: Plantar pressure distribution template
Manual one-dimensional data warping and nonlinear registration in Python and PyQt
Code and data associated with nonlinear registration paper
Functions and scripts for testing random field theory predictions regarding nonuniformly smooth one-dimensional data
Open Textbook: Data Analysis Practice In Python And Jupyter
Introduction to Human Biomechanics: an open textbook
Probabilistic finite element analysis in Python
read and write C3D mocap files
Python package for 3D (Bayesian) Inverse Kinematics
A Python translation of the "Directional" package for R
One-Dimensional Random Field Theory in Python
Automated segmentation of one-dimensional (1D) data
Filtering procedures for one-dimensional data and evaluation of filtering bias
One-Dimensional Statistical Parametric Mapping in Python
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.