bips-hb Goto Github PK
Name: BIPS
Type: Organization
Bio: Leibniz Institute for Prevention Research and Epidemiology
Location: Bremen, Germany
Name: BIPS
Type: Organization
Bio: Leibniz Institute for Prevention Research and Epidemiology
Location: Bremen, Germany
Code for the master thesis re: Accelerometry-Based Prediction of Energy Expenditure […]
Practicals for the APTS Module "Causal Inference"
Adversarial Random Forests
Code and materials to reproduce adversarial RF paper
Python implementation of adversarial random forests for density estimation and generative modelling
Data Analysis Using Regression and Multilevel/Hierarchical Models
Prediction with the ARTP
An R package for using the LASSO for ranking response-exposure pairs on the basis of the highest lambda for which they first appear in the active set
Index for the r-universe repository
RMarkdown templates with BIPS styles
Random Forests for Blocks of Clinical and Omics Covariate Data
Generates all the results from the paper "When choosing the best subset is not the best choice” by M. Hanke, L. Dijkstra, R. Foraita and V. Didelez
Analysis code
Code for paper "Conditional Variable Importance for Mixed Data" by Kristin Blesch, David S. Watson, Marvin N. Wright (2022)
This repository contains the code for the countARFactuals paper.
CPI: Conditional Predictive Impact
Covariate-varying Networks
Workshop / hands-on component to the Data Train ML workshop
Practicals for the Data Train Course "Causal learning" 2021 (V Didelez)
A simulator for EHC data and an algorithm to fit eight exposure models to data of this kind
An application of the expard models on real-world data
The simulation study for the exposure model paper
Generative Random Forests
Simulator for Health Care Claims Data
Function in R to calculate percentiles, z-scores and Metabolic Syndrome (METS) scores for a given data set
Exercises for the Lecture in Interpretable Machine Learning taught at the University of Bremen in 2023
This repository contains code accompanying the paper "Interpretable Machine Learning for Survival Analysis"
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.