Posts

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...

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