AI

Five ways to do least squares (with torch)

Get to know torch's linalg module, all while learning about different ways to do...

torch 0.9.0

torch v0.9.0 is now on CRAN. This version adds support for ARM systems running m...

Discrete Fourier Transform - with torch

About the Fourier Transform, it has been said that it is one of the greatest won...

Wavelet Transform - with torch

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

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...

Implementing rotation equivariance: Group-equivariant C...

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

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...

torch 0.10.0

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

luz 0.4.0

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

Group-equivariant neural networks with escnn

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

LLaMA in R with Keras and TensorFlow

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

torch 0.11.0

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

safetensors 0.1.0

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

GPT-2 from scratch with torch

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

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