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Today, we are excited to introduce torch, an R package that allows you to use Py...
Feb 11, 2025 0
We are pleased to announce that sparklyr.flint, a sparklyr extension for analyzi...
Feb 11, 2025 0
A few weeks ago, we showed how to forecast chaotic dynamical systems with deep l...
Feb 11, 2025 0
This post explores how to train large datasets with TensorFlow and R. Specifical...
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A couple of months ago, Amazon, Facebook, Microsoft, and other contributors init...
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In the last part of this mini-series on forecasting with false nearest neighbors...
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Nowadays, Microsoft, Google, Facebook, and OpenAI are sharing lots of state-of-t...
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How can the seemingly iterative process of weighted sampling without replacement...
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In a recent post, we showed how an LSTM autoencoder, regularized by false neares...
Feb 11, 2025 0
Sparklyr 1.3 is now available, featuring exciting new functionalities such as in...
Feb 11, 2025 0
In nonlinear dynamics, when the state space is thought to be multidimensional bu...
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PixelCNN is a deep learning architecture - or bundle of architectures - designed...
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Compared to other applications, deep learning models might not seem too likely a...
Feb 11, 2025 0
Deep learning need not be irreconcilable with privacy protection. Federated lear...
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A new sparklyr release is now available. This sparklyr 1.2 release features new ...
Feb 11, 2025 0
A new release of pins is available on CRAN today. This release adds support to t...
Feb 11, 2025 0
The term "federated learning" was coined to describe a form of distributed model...
Feb 11, 2025 0
This blog just got a new title: RStudio AI Blog. We explain why.
Feb 11, 2025 0
Kullback-Leibler divergence is not just used to train variational autoencoders o...
Feb 11, 2025 0
Broadcasting, as done by Python's scientific computing library NumPy, involves d...
Feb 11, 2025 0
TensorFlow 2.1, released last week, allows for mixed-precision training, making ...
Feb 11, 2025 0
Differential Privacy guarantees that results of a database query are basically i...
Feb 11, 2025 0
TensorFlow Hub is a library for the publication, discovery, and consumption of r...
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Continuing our tour of applications of TensorFlow Probability (TFP), after Bayes...
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