Blog Archives

Radix for R Markdown

September 18, 2018
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Radix for R Markdown

Today we’re excited to announce Radix, a new R Markdown format optimized for scientific and technical communication. Features of Radix include: Reader-friendly typography that adapts well to mobile devices. Flexible figure layout options (e.g. displaying figures at a larger width than the article text). Tools for making articles easily citeable, as well as for generating Google Scholar compatible citation metadata. The ability to...

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Arrow and beyond: Collaborating on next generation tools for open source data science

April 18, 2018
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Two years ago, Wes McKinney and Hadley Wickham got together to discuss some of the systems challenges facing the Python and R communities. Data science teams inevitably work with multiple languages and systems, so it’s critical that data flow seamlessly and efficiently between these environments. Wes and Hadley wanted to explore opportunities to collaborate on tools for improving interoperability...

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RStudio GPU Workstations in the Cloud with Paperspace

April 1, 2018
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RStudio GPU Workstations in the Cloud with Paperspace

We are very pleased to announce the availability of an RStudio TensorFlow template for the Paperspace cloud desktop service. If you don’t have local access to a modern NVIDIA GPU, your best bet is typically to run GPU intensive training jobs...

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reticulate: R interface to Python

March 25, 2018
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reticulate: R interface to Python

We are pleased to announce the reticulate package, a comprehensive set of tools for interoperability between Python and R. The package includes facilities for: Calling Python from R in a variety of ways including R Markdown, sourcing Python scripts, importing Python modules, and using Python interactively within an R session. Translation between R and Python objects (for example, between R and...

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tfruns: Tools for TensorFlow Training Runs

October 3, 2017
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tfruns: Tools for TensorFlow Training Runs

The tfruns package provides a suite of tools for tracking, visualizing, and managing TensorFlow training runs and experiments from R. Use the tfruns package to: Track the hyperparameters, metrics, output, and source code of every training run. Compare hyperparmaeters and metrics across runs to find the best performing model. Automatically generate reports to visualize individual training runs or comparisons between runs. You...

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tfruns: Tools for TensorFlow Training Runs

October 3, 2017
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tfruns: Tools for TensorFlow Training Runs

The tfruns package provides a suite of tools for tracking, visualizing, and managing TensorFlow training runs and experiments from R. Use the tfruns package to: Track the hyperparameters, metrics, output, and source code of every training run. Compare hyperparmaeters and metrics across runs to find the best performing model. Automatically generate reports to visualize individual training runs or comparisons between runs. You...

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Keras for R

September 4, 2017
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Keras for R

We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a focus on enabling fast experimentation. Keras has the following key features: Allows the same code to run on CPU or on GPU, seamlessly. User-friendly API which makes it easy to quickly...

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Keras for R

September 4, 2017
By
Keras for R

We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a focus on enabling fast experimentation. Keras has the following key features: Allows the same code to run on CPU or on GPU, seamlessly. User-friendly API which makes it easy to quickly...

Read more »

Keras for R

September 4, 2017
By
Keras for R

We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a focus on enabling fast experimentation. Keras has the following key features: Allows the same code to run on CPU or on GPU, seamlessly. User-friendly API which makes it easy to quickly...

Read more »

TensorFlow v1.3 Released

August 16, 2017
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The final release of TensorFlow v1.3 is now available. This release of TensorFlow marks the initial availability of several canned estimators, including: DNNClassifier DNNRegressor LinearClassifier LinearRegressor DNNLinearCombinedClassifier ...

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