ryanruff Goto Github PK
Name: Ryan Richard Ruff
Type: User
Company: New York University
Bio: Associate Professor of Epidemiology
Location: New York, NY
Name: Ryan Richard Ruff
Type: User
Company: New York University
Bio: Associate Professor of Epidemiology
Location: New York, NY
Course materials for Applied Machine Learning course in 2019 in London
CariedAway randomized clinical trial and school-based health program
Projections of COVID-19, in standardized format
An Open Source simulation app built in R (Shiny) to produce mouth models used for epidemiologic research
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
Binary moderated effect estimator, analysis for hybrid design, and simulated data
GATHER compliant code for the GBD
Oral Health Equity and Action Lab
R function that takes a user input 2x2 table and calculates the various methods of confidence intervals for preventive fractions. Based on Gargiullo et al (1995)
Course materials for Propensity Score Matching at Columbia University Epidemiology & Population Health Institute
Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019
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.