Posts

On leapfrogs, crashing satellites, and going nuts: A ve...

TensorFlow Probability, and its R wrapper tfprobability, provide Markov Chain Mo...

BERT from R

A deep learning model - BERT from Google AI Research - has yielded state-of-the-...

So, how come we can use TensorFlow from R?

Have you ever wondered why you can call TensorFlow - mostly known as a Python fr...

Image segmentation with U-Net

In image segmentation, every pixel of an image is assigned a class. Depending on...

Modeling censored data with tfprobability

In this post we use tfprobability, the R interface to TensorFlow Probability, to...

TensorFlow feature columns: Transforming your data reci...

TensorFlow feature columns provide useful functionality for preprocessing catego...

Dynamic linear models with tfprobability

Previous posts featuring tfprobability - the R interface to TensorFlow Probabili...

Adding uncertainty estimates to Keras models with tfpro...

As of today, there is no mainstream road to obtaining uncertainty estimates from...

Hierarchical partial pooling, continued: Varying slopes...

This post builds on our recent introduction to multi-level modeling with tfproba...

Tadpoles on TensorFlow: Hierarchical partial pooling wi...

This post is a first introduction to MCMC modeling with tfprobability, the R int...

Introducing mall for R...and Python

We are proud to introduce the {mall} package. With {mall}, you can use a local ...

Introducing Keras 3 for R

We are thrilled to introduce {keras3}, the next version of the Keras R package. ...

News from the sparkly-verse

Highlights to the most recent updates to `sparklyr` and friends

Chat with AI in RStudio

Interact with Github Copilot and OpenAI's GPT (ChatGPT) models directly in RStud...

Hugging Face Integrations

Hugging Face rapidly became a very popular platform to build, share and collabor...

Understanding LoRA with a minimal example

LoRA (Low Rank Adaptation) is a new technique for fine-tuning deep learning mode...

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