Causal Inference in R: A book!

Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2

R package: Convert country names and country codes. Assigns region descriptors.

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Intro to Rust for ML

Notebook for a talk introducing polars

Get the power of polars with the syntax of the tidyverse

🎨 Visualisation toolbox for beautiful and publication-ready figures

Multi-class confusion matrix library in Python

Spells for everyday living. (also a book coming out in 2024)

Estimated marginal means

Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.

ATP Tennis Rankings, Results, and Stats

mlr3: Machine Learning in R - next generation

Advanced and Fast Data Transformation in R

Extra learners for use in mlr3.

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

A walkthrough of transformer architecture code

Training and evaluating NBM and SPAM for interpretable machine learning.

Tidy Temporal Data Frames and Tools

Apply Mapping Functions in Parallel using Futures

📍 Repel overlapping text labels away from each other in your ggplot2 figures.

Multiple Fill, Color and Other Scales in `ggplot2`

Generalized Random Forests

A collection of topics and code from our MRUG meetings.

This will introduce R users to the Distill format for R Markdown, for scientific communication and building websites.

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

R interface to fast.ai