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We continue our exploration of time-series forecasting with torch, moving on to ...
This post is an introduction to time-series forecasting with torch. Central topi...
Torch is not just for deep learning. Its L-BFGS optimizer, complete with Strong-...
The sparklyr 1.6 release introduces weighted quantile summaries, an R interface ...
We conclude our mini-series on time-series forecasting with torch by augmenting ...
Today, we're introducing luz, a high-level interface to torch that lets you trai...
We are excited to announce the availability of sparklyr.sedona, a sparklyr exten...
Sparklyr 1.7 delivers much-anticipated improvements, including R interfaces for ...
Using the torch just-in-time (JIT) compiler, it is possible to query a model tra...
We train a model for image segmentation in R, using torch together with luz, its...
Geometric deep learning is a "program" that aspires to situate deep learning arc...
For keras, the last two releases have brought important new functionality, in te...
It's been a while since this blog featured content about Keras for R, so you mig...
Announcing the release of "Deep Learning with R, 2nd Edition," a book that shows...
Today, we want to call attention to a highly useful package in the torch ecosyst...
Sometimes, a software's best feature is the one you've added yourself. This post...