danielseussler Goto Github PK
Name: Daniel Seussler
Type: User
Company: Center for Evaluation and Development (C4ED)
Bio: Statistics, Data and Development Economics. Maths and Stats at LMU Munich.
Location: Frankfurt am Main, Germany
Name: Daniel Seussler
Type: User
Company: Center for Evaluation and Development (C4ED)
Bio: Statistics, Data and Development Economics. Maths and Stats at LMU Munich.
Location: Frankfurt am Main, Germany
Conformal Bayesian Computation with Stan and Numba.
Cost-sensitive loss in the component-wise boosting framework.
A Theme for GitHub Pages
A small python package for plagiarism checks in docx files.
A repo to test different sampling algorithms related to sparse bayesian regression models and the horseshoe prior specifically.
Examples of PyMC models, including a library of Jupyter notebooks.
Test bench for Stan w/ ADVI and Pathfinder for scalable Bayesian inference.
Replication Code for the Seminar on Statistical Modelling of Social Networks: The Additive and Multiplicative Effects Network Model. Application Case: Interstate Defence Alliances in 2000.
Replication files for my master's thesis. Component-wise boosting for identification of health risk factors.
Tex files for my master's thesis. Component-wise boosting for identification of health risk factors.
Replication files for the Zindi DataDrive2030 Early Learning Predictors Competition.
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.