rodemann
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Data and code for the paper Explainable Bayesian Optimization
Extracts the historic word occurrence of a search term in academic papers
R Implementation of Compressed Rule Ensemble Models (2022) by Malte Nalenz and Thomas Augustin.
This Repository contains the necessary code to reproduce the results from my bachelors thesis "Eine empirische Analyse von Prior-Daten Konflikte in Bayesianischen neuronalen Netzen"
Data, code and plots for the paper "Estimating excess mortality in high-income countries during the COVID-19 pandemic"
A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
this Repo contains the ShapleyMBO framework and my dissertation for the master's degree
Deep learning framework for the mlr3 ecosystem based on torch
This Git repository contains all R code used for publication "Semiparametric APC Analysis of Destination Choice Patterns".
Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression
A learning curve benchmark on OpenML data
❗ This is a read-only mirror of the CRAN R package repository. DiceKriging — Kriging Methods for Computer Experiments. Homepage: https://dicekrigingclub.github.io/www/
The web framework for content-driven websites. ⭐️ Star to support our work!
Single- and Multi-Objective Optimization Test Functions
❗ This is a read-only mirror of the CRAN R package repository. kergp — Gaussian Process Laboratory
Code for the Causal Bayesian Optimization algorithm (http:https://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)
A personal website
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Find best-response to a fixed policy in multi-agent RL
Scripts we're using to create automated charts tracking the spread of Covid-19 in Datawrapper