martinju Goto Github PK

ciu

R implementation of Contextual Importance and Utility for Explainable AI

csv-to-html-table

:arrow_down_small: Display any CSV (comma separated values) file as a searchable, filterable, pretty HTML table

diagrams

Diagram testing

fcv

Code for investigating the fruitfulness of a focus weighted cross validation scheme

forecast

forecast package for R

inlabru

inlabru

interpretable-ml-book

Book about interpretable machine learning

latexsample

lg

Local Gaussian dsitributions: An R package

lgcp-normconst-simulations

Results and source code for Jullum, M. (2020) Investigating mesh based approximation methods for the normalization constant in the Cox process likelihood, Stat, in press

lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

martinju.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

mvnfast

Fast methods for multivariate normal distributions

mvtboost

Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.

servr

A simple HTTP server in R

shapr

Explaining the output of machine learning models with more accurately estimated Shapley values

stromstotte

testrcpparmadillo

test repo for rcpp code compilation issues

tspred

TSPred Package for R : Functions for Benchmarking Time Series Prediction

variousr

Various R scripts and functions

website

Personal website for Martin Jullum

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow