steffen-ventz Goto Github PK
Name: Steffen Ventz
Type: User
Company: University of Minnesota
Bio: Assistant Professor in the Division of Biostatistics, School of Public Health, University of Minnesota
Location: Minneapolis, MN
Name: Steffen Ventz
Type: User
Company: University of Minnesota
Bio: Assistant Professor in the Division of Biostatistics, School of Public Health, University of Minnesota
Location: Minneapolis, MN
Notebook submission for StanCon 2018
Github repo for the BNP Causal Inference short course
Matlab toolbox for Bayesian functional data analysis
Lightweight, useful implementation of conformal prediction on real data.
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Bayesian graphical models estimated with projection predictive selection
Implementation of GP-BART algorithm.
Repository for Introduction to Bayesian Estimation of Causal Effects
A presentation introducing Bayesian Additive Regression Trees (BART)
Experiment Code for "Robust Generalised Bayesian Inference for Intractable Likelihoods" (https://arxiv.org/abs/2104.07359)
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Associated files for Shaddox, E., Peterson, C.B., Stingo, F.C., Hanania, N., Cruickshank-Quinn, C., Kechris, K., Bowler, R. and Vannucci, M. (2018) Bayesian Inference of Networks Across Multiple Sample Groups and Data Types. Biostatistics, invited revision.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Normalizing flows in PyTorch. Current intended use is education not production.
Integrative Analysis of Multi-omics and Imaging Data with Incorporation of Biological Information via Structural Bayesian Factor Analysis
Tutorials for the 2021 ML4Seismic Partners Meeting
Julia implementation of Variational Auto Encoder (VAE) model
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
append code to Corbella 2022
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.