Name: Mattias Villani
Type: User
Company: Stockholm University
Bio: Natural Born Bayesian
Twitter: matvil
Location: Nyköping, Sweden
Blog: mattiasvillani.com
I am Professor of Statistics at Stockholm University.
I teach and do research in Bayesian statistics, often with a focus on prediction and computational aspects.
I keep all my teaching material open, including source files, and I have repos for all my courses (older courses at STIMA@LiU).
More info about my work on my web pages.
advancedps.jl
Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
advbayeslearncourse
Course material for the PhD course in Advanced Bayesian Learning
archmodels.jl
A Julia package for estimating ARMA-GARCH models.
bayesianlearningbook
Home for the book-in-progress 'Bayesian Learning'
bayeslearncourse
Bayesian Learning course at Stockholm University
bayeslearnsu
Datasets for the course Bayesian Learning at SU and LIU.
bayesregkth
Material for a guest lecture in Bayesian regression given yearly at KTH
binder
Repo for creating binders to JuPyteR notebooks
blnotebooks
Notebooks for the Bayesian Learning textbook.
cedas_norbis2023
Slides and codes for my lecture at the CEDAS-NORBIS 2023 Summer School in Bergen, Norway.
cudnn.jl
Julia wrapper for the NVIDIA cuDNN GPU deep learning library
dashboard
esobe2017
Material for my one-day tutorial at ESOBE2017
flux.jl
Relax! Flux is the ML library that doesn't make you tensor
forwarddiff.jl
Forward Mode Automatic Differentiation for Julia
generalizedbeta1distribution.jl
Julia implementation of the Generalized Beta1 distribution - a four-parameter extension of the standard Beta distribution
horserule
R package for the HorseRule model.
julia-distributed-computing
The ultimate guide to distributed computing in Julia
logisticbetadistribution.jl
Julia implementation of the logistic-beta distribution
mattiasvillani
mattiasvillani.github.io
mfbvar
R package for Mixed-Frequency Bayesian VARs
mlcourse
Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.
papers
Archive of submitted papers that for some reason has not been submitted to arXiv.
pgfplotsx.jl
Create plots in Julia using the PGFPlots LaTeX package
polynomialmatrices.jl
Polynomial matrices in Julia
regcourse
Web page for the course Regressionsanalys 7.5 credits at Stockholm University
regression
researchculture
ros-examples
Regression and other stories R examples
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
