The code coverage tool for Python

Causal Inference in R Workshop

High-performance container datatypes for R

missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.

Shapley Interactions and Shapley Values for Machine Learning

Superlatively-fast fuzzy-joins in R

R packages using Rust on CRAN

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Equivalence of the offset and weights for Poisson, Gamma and Tweedie regression

Multivariate (multi-response) ensemble learning

Mirror of the R svn with CI for testing patches

R to Fortran Transpiler

Python wrapper around the Stan programming language, designed particularly for use in natural science applications.

The duckdb R package

Set up commonly used 📦 components

Lightweight Python implementation of SHAP

Notebooks of the eXplainableAI working group of the German actuarial association

Structural Equation Modeling with Deep Neural Network and Machine Learning

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

For calculating Shapley values via linear regression.

scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.

Half day workshop covering insurance pricing with GAMs, GLMs, trees and clustering.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🌊 Online machine learning in Python

Python Accumulated Local Effects package

Friedman's H Statistics in Python

Python implementation of ALE