Tomasz Kalinowski

ellmer

Call LLM APIs from R

587

vitals

Large language model evaluation for R

dplyr

dplyr: A grammar of data manipulation

purrr

A functional programming toolkit for R

1.4k

reticulate

R Interface to Python

1.7k

stringr

A fresh approach to string manipulation in R

658

ragnar

RAG in R

169

mcptools

Model Context Protocol For R

161

rstudio-conf

Materials for rstudio::conf

746

vetiver-r

Version, share, deploy, and monitor models

198

parsnip

A tidy unified interface to models

648

Rapp

Build CLI applications in R

106

keras3

R Interface to Keras

855

tensorflow

TensorFlow for R

1.3k

tibble

A modern re-imagining of the data frame

741

waldo

Find differences between R objects

301

cheatsheets

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/

6.3k

TeX

tfdatasets

R interface to TensorFlow Datasets API

covr

Test coverage reports for R

345

tfprobability

R interface to TensorFlow Probability

tfestimators

R interface to TensorFlow Estimators

cloudml

R interface to Google Cloud Machine Learning Engine

tfruns

Track, Visualize, and Manage TensorFlow Training Runs

ai-blog

Repository for the RStudio AI Blog (formerly: TensorFlow for R Blog)

coro

Coroutines for R

181

pkgload

Simulate installing and loading a package

Posts and resources by Tomasz Kalinowski#

Rapp 0.3.0

Rapp is an R front-end (like Rscript) that turns simple scripts into polished CLIs, with automatic argument parsing, generated help, and support for commands and installable launchers

tidyverse yaml Best Practices Rlib Packages Programming Tidyverse

Feb 18, 2026

ragnar 0.3.0

The new release of ragnar adds faster ingestion, new embedding providers, improved retrieval, and new integrations for using ragnar stores from tools

tidyverse ragnar Artificial Intelligence Ai Tidyverse Packages

Jan 27, 2026

yaml12: YAML 1.2 for R and Python

We’re pleased to announce two new YAML 1.2 packages: `yaml12` for R and `py-yaml12` for Python. Both are implemented in Rust and designed for fast, predictable YAML 1.2 parsing, with safe opt-in tag handling and document stream support

tidyverse yaml Best Practices Python Rust Tidyverse Packages

Jan 7, 2026

video

Positron AI Session (George Stagg, Winston Chang, Tomasz Kalinowski , Carson Sievert) | posit::conf

Positron AI Session (George Stagg, Winston Chang, Tomasz Kalinowski , Carson Sievert) | posit::conf

George Stagg, Winston Chang, and Tomasz Kalinowski introduce AI capabilities in Positron, including Positron Assistant, a tool still in preview that enhances coding and data analysis. 0:00 Introduction to Posit's approach to AI 0:23 George Stagg: Positron Assistant 11:03 Winston Chang: Databot 21:30 Tomasz Kalinowski: ragnar 31:13 Carson Sievert: chatlas 41:42 Q&A posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Carson Sievert, George Stagg, Tomasz Kalinowski, Winston Chang

Sep 18, 2025

44 min

1.6k views

chatlas Positron ragnar Posit::conf(2025) RStats Python Data Data Science Ai

ragnar 0.2

ragnar 0.2 introduces a tidy, transparent toolkit for building Retrieval-Augmented Generation (RAG) pipelines in R

tidyverse ragnar Artificial Intelligence Ai Tidyverse Packages

Aug 20, 2025

Tomasz Kalinowski, Hadley Wickham

S7 0.2.0

S7 is a new package that simplifies object-oriented programming (OOP) in R. It combines the simplicity of S3 with the structure of S4 to create a clearer system that's accessible to everyone

Nov 7, 2024

Best Practices S7 Tidyverse Packages

video

Tomasz Kalinowski - Keras 3: Deep Learning made easy

Tomasz Kalinowski - Keras 3: Deep Learning made easy

Keras 3 is a ground-up rewrite of Keras 2 that refines the API and reintroduces multi-backend support. In this talk, learn about all the features (new and old) in Keras that make it easy to build, train, evaluate, and deploy deep learning models. Talk by Tomasz Kalinowski GitHub Repo: https://github.com/t-kalinowski/posit-conf-2024

Introducing Keras 3 for R

We are thrilled to introduce {keras3}, the next version of the Keras R package. {keras3} is a ground-up rebuild of {keras}, maintaining the beloved features of the original while refining and simplifying the API based on valuable insights gathered over the past few years

keras3 Machine Learning Ai TensorFlow Keras

May 21, 2024

LLaMA in R with Keras and TensorFlow

Implementation and walk-through of LLaMA, a Large Language Model, in R, with TensorFlow and Keras

keras3 Machine Learning Artificial Intelligence Ai TensorFlow Keras Generative Models Natural Language Processing

May 25, 2023

TensorFlow and Keras 2.9

New TensorFlow and Keras releases bring improvements big and small

keras3 Machine Learning Ai TensorFlow Keras Packages Releases

Jun 9, 2022

Deep Learning with R, 2nd Edition

Announcing the release of "Deep Learning with R, 2nd Edition," a book that shows you how to get started with deep learning in R

keras3 Machine Learning Ai TensorFlow Keras

May 31, 2022

Sigrid Keydana, Tomasz Kalinowski

Pre-processing layers in keras: What they are and how to use them

Pre-processing layers in keras: What they are and how to use them

For keras, the last two releases have brought important new functionality, in terms of both low-level infrastructure and workflow enhancements. This post focuses on an outstanding example of the latter category: a new family of layers designed to help with pre-processing, data-augmentation, and feature-engineering tasks

Dec 9, 2021

keras3 Machine Learning Ai TensorFlow Keras