Articles by Javier Luraschi

Training ImageNet with R

August 23, 2020 | Javier Luraschi

``` The MirroredStrategy can help us scale up to about 8 GPUs per compute instance; however, we are likely to need 16 instances with 8 GPUs each to train ImageNet in a reasonable time (see Jeremy Howard’s post on Training Imagenet in 18 Minutes). So where do we go from here? Welcome to MultiWorkerMirroredStrategy: ... [Read more...]

pins 0.4: Versioning

May 28, 2020 | Javier Luraschi

A new version of pins is available on CRAN today, which adds support for versioning your datasets and DigitalOcean Spaces boards! As a quick recap, the pins package allows you to cache, discover and share resources. You can use pins in a wide range of situations, from downloading a dataset ...
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pins 0.4: Versioning

April 12, 2020 | Javier Luraschi

A new release of pins is available on CRAN today. This release adds support to time travel across dataset versions, which improves collaboration and protects your code from breaking when remote resources change unexpectedly. [Read more...]

pins 0.3: Azure, GCloud and S3

November 27, 2019 | Javier Luraschi

A new version of pins is available on CRAN! pins 0.3 comes with many improvements and the following major features: Support for new cloud boards to pin resources in Azure, GCloud and S3 storage. Retrieve pin information with pin_info() including properties particular to each board. You can install this new ...
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pins: Pin, Discover and Share Resources

September 8, 2019 | Javier Luraschi

Today we are excited to announce the pins package is available on CRAN! pins allows you to pin, discover and share remote resources, locally or in remote storage. If you find yourself using download.file() or asking others to download files before running your R code, use pin() to achieve ...
[Read more...]

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