Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.

ML models + benchmark for tabular data classification and regression

Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-lin…

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.

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

Notebook for a talk introducing polars

More efficient tidyverse code, using polars in the background

🎨 Visualisation toolbox for beautiful and publication-ready figures

Multi-class confusion matrix library in Python

Spells for everyday living, also a book -- Models Demystified -- now available!

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.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

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.