osorensen Goto Github PK
Name: Øystein Sørensen
Type: User
Company: University of Oslo
Bio: Professor of Biostatistics, University of Oslo.
Location: Oslo, Norway
Øystein Sørensen's Projects
nordicbalticbiometrics2021
My presentation at the 8th Nordic-Baltic Biometrics Virtual Conference
nordstat2021
norsk_sentiment_analyse
Et lite eksperiment. Få tilbakemeldinger på om et ord opptrer i positive eller negative sammenhenger på twitter.
optim
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
ordpens
Ordinal PCA, Selection and/or Smoothing of Ordinal Predictors
plackettluce
PlackettLuce package for Plackett-Luce models in R
purplepen
Purple Pen course setting program for orienteering
pyemgpipeline
quicknat_pytorch
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
r-docker-tutorial
A docker tutorial for reproducible research
r-pkgs
Building R packages
rcpp-gallery
Source code for the Rcpp Gallery website
rcppeigen
Rcpp integration for the Eigen templated linear algebra library
readr
Read flat files (csv, tsv, fwf) into R
rlang
Low-level API for programming with R
rstudio
RStudio is an integrated development environment (IDE) for R
simr
Power Analysis of Generalised Linear Mixed Models by Simulation
sloop
Sail the seas of OOP with ⛵️
sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
splines_in_stan
Implementation of B-Splines in Stan
stabm
Stability measures
stacks
An R package for tidy stacked ensemble modeling
stringr
A fresh approach to string manipulation in R
systole
A python toolbox for preprocessing, analyzing, and synchronizing cardiac data.
tikz-bayesnet
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
toolbox
The Docker Toolbox
twin_family_models
unlocknn
A Python package for adding uncertainties to neural network models of chemical systems.
volume-segmantics
A toolkit for semantic segmentation of volumetric data using PyTorch deep learning models
website
Source repository for my personal website.
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