Moritz Schauer
You find me via e-mail (see my university contact information on http://www.math.chalmers.se/~smoritz/index.html) or on JuliaLang's Community Channels, e.g. Zulip or Slack (see, https://julialang.org/community/).
Name: Moritz Schauer
Type: User
Company: University of Gothenburg and Chalmers Technical University
Bio: Statistician, PhD
Twitter: moritzschauer
Location: Gothenburg
Moritz Schauer
You find me via e-mail (see my university contact information on http://www.math.chalmers.se/~smoritz/index.html) or on JuliaLang's Community Channels, e.g. Zulip or Slack (see, https://julialang.org/community/).
Simple phylogenetic trees in Julia to work with Diversity.jl - https://github.com/richardreeve/Diversity.jl
Bayesian Inference for trait evolution on phylogenetic trees
Piecewise constant curves
Smooth image transformations for complex shapes
Powerful convenience for Julia visualizations and data analysis
Statistical inference for Poisson Processes
Evaluation Framework for Probabilistic Programming Languages
Prime numbers in Julia
Extensions to the stdlib/Random module
Random matrices package for Julia
A small module providing various random matrices. These are for testing and debugging purposes.
Reachability and Safety Properties of Affine ODEs with Nondeterministic Inputs
Reactive programming primitives for Julia
Lazy code loading for Julia
A graphical perspective on Gauss-Markov process priors and fast sparse Cholesky for hierarchically structured (generalized arrow) matrices
This package is obsoleted by https://github.com/mschauer/Bridge.jl
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Julia script for creating new packages quickly.
Probabilistic programming via source rewriting
Split-apply-combine strategies for Julia
Stan website based on the So Simple Jekyll theme.
Statically sized arrays for Julia
Static linear maps in Julia parametrised by domain and codomain
Basic statistics for Julia
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.