Posts

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...

What are Large Language Models? What are they not?

This is a high-level, introductory article about Large Language Models (LLMs), t...

GPT-2 from scratch with torch

Implementing a language model from scratch is, arguably, the best way to develop...

safetensors 0.1.0

Announcing safetensors, a new R package allowing for reading and writing files i...

torch 0.11.0

torch v0.11.0 is now on CRAN. This release features much-enhanced support for ex...

LLaMA in R with Keras and TensorFlow

Implementation and walk-through of LLaMA, a Large Language Model, in R, with Ten...

Group-equivariant neural networks with escnn

Escnn, built on PyTorch, is a library that, in the spirit of Geometric Deep Lear...

luz 0.4.0

luz v0.4.0 is now on CRAN. This release adds support for training models on ARM ...

torch 0.10.0

torch v0.10.0 is now on CRAN. This version upgraded the underlying LibTorch to 1...

De-noising Diffusion with torch

Currently, in generative deep learning, no other approach seems to outperform th...

Deep Learning and Scientific Computing with R torch: th...

Please allow us to introduce Deep Learning and Scientific Computing with R torch...

Implementing rotation equivariance: Group-equivariant C...

We code up a simple group-equivariant convolutional neural network (GCNN) that i...

Upside down, a cat's still a cat: Evolving image recogn...

In this first in a series of posts on group-equivariant convolutional neural net...

AO, NAO, ENSO: A wavelet analysis example

El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Arcti...

Wavelet Transform - with torch

torch does not have built-in functionality to do wavelet analysis. But we can ef...

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