Pinned Repositories
AdvBayesLearnCourse
Course material for the PhD course in Advanced Bayesian Learning
BayesianLearningBook
Home for the book-in-progress 'Bayesian Learning'
BayesLearnCourse
Bayesian Learning course at Stockholm University
ESOBE2017
Material for my one-day tutorial at ESOBE2017
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.
LogisticBetaDistribution.jl
Julia implementation of the logistic-beta distribution
MLcourse
Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.
WinterConfHemavan2019
Material for my 'Bayesian Machine Learning' lectures at the Winter Conference in Statistics, Hemavan, Sweden, March 11-14, 2019.
sda123
R package for the three basic courses Statistik och dataanalys I, II and III
mattiasvillani's Repositories
mattiasvillani/BayesLearnCourse
Bayesian Learning course at Stockholm University
mattiasvillani/AdvBayesLearnCourse
Course material for the PhD course in Advanced Bayesian Learning
mattiasvillani/BayesianLearningBook
Home for the book-in-progress 'Bayesian Learning'
mattiasvillani/MLcourse
Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.
mattiasvillani/WinterConfHemavan2019
Material for my 'Bayesian Machine Learning' lectures at the Winter Conference in Statistics, Hemavan, Sweden, March 11-14, 2019.
mattiasvillani/Talks
Some talks that I have given
mattiasvillani/StochProcesses
mattiasvillani/BayesRegKTH
Material for a guest lecture in Bayesian regression given yearly at KTH
mattiasvillani/CEDAS_NORBIS2023
Slides and codes for my lecture at the CEDAS-NORBIS 2023 Summer School in Bergen, Norway.
mattiasvillani/ResearchCulture
mattiasvillani/TeachingMaterial
Some misc teaching material from older courses that I no longer teach
mattiasvillani/GeneralizedBeta1Distribution.jl
Julia implementation of the Generalized Beta1 distribution - a four-parameter extension of the standard Beta distribution
mattiasvillani/LogisticBetaDistribution.jl
Julia implementation of the logistic-beta distribution
mattiasvillani/AdvancedPS.jl
Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
mattiasvillani/BayesLearnSU
Datasets for the course Bayesian Learning at SU and LIU.
mattiasvillani/binder
Repo for creating binders to JuPyteR notebooks
mattiasvillani/CUDNN.jl
Julia wrapper for the NVIDIA cuDNN GPU deep learning library
mattiasvillani/Dashboard
mattiasvillani/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
mattiasvillani/ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
mattiasvillani/julia-distributed-computing
The ultimate guide to distributed computing in Julia
mattiasvillani/mattiasvillani
mattiasvillani/mattiasvillani.github.io
mattiasvillani/Regression
mattiasvillani/ROS-Examples
Regression and other stories R examples
mattiasvillani/sbryngelson.github.io
Bryngelson research group website
mattiasvillani/SDA1
Repo för kursen Statistik och dataanalys I när jag gav kursen dvs t o m HT2023
mattiasvillani/SpecialFunctions.jl
Special mathematical functions in Julia
mattiasvillani/StateSpaceModels
Mini-course (lecture set) on State Space Models.
mattiasvillani/Stats4Text