csetraynor Goto Github PK
Name: Carlos Traynor
Type: User
Bio: Scientist
Name: Carlos Traynor
Type: User
Bio: Scientist
Simulate Survival Data
Simulate bespoke time-to-event models
Materials for my scikit-learn tutorial
Multiple imputation of missing data via missForest and fast implementation of random forests
Smooth Hazard Models for Interval-Censored Data with Applications to Survival and Illness-Death Models
This is the development home of the workflow management system Snakemake. For general information, see
Apache Spark
Implementation of B-Splines in Stan
Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Repository for book "Bayesian Statistics Using Stan", text files in Rmarkdown, plus example data, Stan models, and scripts
Bayesian linear survival analysis with shrinkage priors in Stan
Tools for automatically generating local sensitivity measures in Stan.
Bayesian Survival Analysis using Stan
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Stellarium is a free GPL software which renders realistic skies in real time with OpenGL. It is available for Linux/Unix, Windows and MacOSX. With Stellarium, you really see what you can see with your eyes, binoculars or a small telescope.
Tools for bayesian survival-regression, with Stan and MAP
survbayes2
R package for performance assessment and comparison for survival analysis
Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
Fast Training of Support Vector Machines for Survival Analysis
Library of Stan Models for Survival Analysis
Survival Analysis and Visualization
Codebase for the NeurIPS 2019 paper: "Demystifying Black-box Models with Symbolic Metamodels", by A. M. Alaa and M. van der Schaar.
Materials for the Symposium of Engineering 2019
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
An R implementation of TabNet
Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
Tabula is a tool for liberating data tables trapped inside PDF files
Function-oriented Make-like declarative workflows for R
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.