An Open Source Machine Learning Framework for Everyone

Open Mainframe Project TAC processes and meeting notes

Finding files in project subdirectories

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A curated list of Claude Skills.

The official Python SDK for Model Context Protocol servers and clients

The best way to create, deploy, and share MCP Servers

dplyr: A grammar of data manipulation

Easy interactive web applications with R

DBI-based adapter for Presto for the statistical programming language R.

Google Drive R API

Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.

Repository for pre-built dev container images published under mcr.microsoft.com/devcontainers

Integrate cutting-edge LLM technology quickly and easily into your apps

HTTP testing for R

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

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Materials for rstudio::conf

An R 📦 to make testing 😀

A general-purpose tool for dynamic report generation in R

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

The missing star history graph of GitHub repos - https://star-history.com

📚 Community guides for open source creators

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

R Contribution Working Group: fostering a larger, more diverse community of contributors to R core development

Information about the Kubeflow community including proposals and governance information.

R Weekly

A functional programming toolkit for R

An implementation of the Grammar of Graphics in R