High Precision Timing of R Expressions
sparklyr 0.8: production ML pipelines with mleap export and graph analysis with graphframes
R interface to TensorFlow Estimators
If you don’t have local access to a modern NVIDIA GPU, your best bet is typically to run GPU intensive training jobs in the cloud. Paperspace is a cloud service that provides access to a fully preconfigured Ubuntu 16.04 desktop environment equipped with a GPU
sparklyr 0.7: ML Pipelines API for building, tuning, and deploying machine learning workflows at scale
We are excited to announce the availability of the cloudml package, which provides an R interface to Google Cloud Machine Learning Engine. CloudML provides a number of services including on-demand access to training on GPUs and hyperparameter tuning to optimize key attributes of model architectures
R interface to Google Cloud Machine Learning Engine
The tfruns package provides a suite of tools for tracking, visualizing, and managing TensorFlow training runs and experiments from R
sparklyr 0.6: distributed R with spark_apply() and external data source connections
sparklyr 0.5 extends dplyr with do() and n_distinct(), adds experimental Livy support for remote Spark connections
Introducing sparklyr: use dplyr syntax to manipulate Spark data and run distributed machine learning from R
New tutorial series on creating custom JavaScript widgets for Shiny using libraries like c3.js, d3.js, and intro.js
Easy memoisation for R
Article spotlight: Dean Attali explains how to save Shiny app data to local files, databases, and cloud storage for persistence
New free Shiny video tutorial (2.5 hours) and updated cheat sheet covering app architecture, reactivity, inputs, layouts, and CSS
Guest tutorial: Get started with SparkR for distributed computing—install locally, run map/reduce operations, and deploy on AWS
New ggplot2 cheatsheet covering geoms, stats, scales, facets, and themes—plus Spanish translations of other cheatsheets
New devtools cheatsheet for building R packages: structure, DESCRIPTION, roxygen docs, tests, and vignettes—plus Chinese translations
New 8-hour video course from RStudio and O’Reilly covering R programming, data manipulation, visualization, and modeling
New R Markdown cheat sheet: render reports to PDF, HTML, or Word, embed R code, and create interactive documents
New Shiny Dev Center articles: create interactive documents and slideshows by embedding Shiny in R Markdown
Platform independent zip compression via miniz
Open System Files, URLs, Anything
Version, share, deploy, and monitor models
Tree-sitter grammar for R
R bindings to libsodium
SUPERSEDED - Apps for Shiny continuous integration testing
Application-level automated tests for Shiny
Collection of bash scripts that install R package system dependencies
Docker images for RStudio Professional Products
scrypt cryptographic functions for R
Friendly regular expressions for R
Docker images for R
an opinionated environment for compiling R
Python package for deploying Shinylive applications
Pretty, human readable formatting of quantities
R Package Dependency Resolution
Private configuration for R packages
ICMP and TCP ping and related tools
Schedule an R function or formula to run after a specified period of time
:closed_lock_with_key: Access the system credential store from R
A simpler way to find your files
Helm Resources for Posit Products
R Interface for GraphFrames
Simple git client for R
Cross platform file locking in R
Fast map implementation for R
Tools for Working with..
Easy and efficient debugging for R packages
Coroutines for R
Unicode symbols for CLI applications, with fallbacks
Create standalone functions for remote execution
Key-value caches for R
Basic R Input Output
Two-day workshop that covers how to use R to interact databases and Spark
Password Entry for R, Git, and SSH
Try adjusting your filters or search query.