A collection of learning resources for curious software engineers

My dotfiles for R, e.g. .Rprofile and .Renviron

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

Mocking for testthat unit testing

A custom hugo shortcode for interactive quizzes

mlr3 extension for Fairness in Machine Learning

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

R Interface to Torch

Use your tablet as graphic tablet/touch screen on your computer.

Flexible Bayesian Optimization in R

Create agents that monitor and act on your behalf. Your agents are standing by!

Unlock your Sony camera's settings

R implementation of reusable holdout

Simplistic framework for creating and handling displays and controls on a web page served by an Arduino (or other small device).

Restore a damaged (truncated) mp4, m4v, mov, 3gp video. Provided you have a similar not broken video.

Multiple Fill, Color and Other Scales in `ggplot2`

CRAN R Package: Time Series Missing Value Imputation

A Chrome Remote Interface written in R

mlr3: Machine Learning in R - next generation

On top of spaghetti, all covered in cheese....

Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data

Show uncommitted, untracked and unpushed changes for multiple Git repos

R's data.table package extends data.frame:

An open source python library for scalable Bayesian optimisation.

Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

This Docker image provides an API to estimate the performance of a given algorithm with a given parameter set on a given OpenML task.

Wraps mlrMBO in a nice REST-API to provide mlr-mbo-as-a-service and provides a R package to use it.

An R package to assess feature importance