Write reusable, composable and modular R code

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

Advanced and Fast Data Transformation in R

A Quarto RevealJS Organization Boilerplate Template You Can Clone And Modify Quickly

Presentation-Ready Data Summary and Analytic Result Tables

🌺 Minimalist Vim Plugin Manager

A new markup-based typesetting system that is powerful and easy to learn.

This lab uses a Dockerized ASP.NET Core web application - MyHealthClinic (MHC) and is deployed to a Kubernetes cluster running on Azure Kubernetes Service (AKS) using Azure DevOps.

A repo for GEOG-414 (Spatial Data Management) at the University of Tennessee

LLM inference in C/C++

Spatial Data Science: With Applications in R (source files)

Extra learners for use in mlr3.

Shiny application on neighborhood diversity

mlr3: Machine Learning in R - next generation

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Simple geographical vector interaction built on top of ArchGDAL

GNU Fortran (and GCC) compilers for macOS