On-device fetal ultrasound assessment with TensorFlow Lite
Learn how Google’s Health AI team is building a mobile-optimized fetal ultrasound system using TensorFlow Lite for real-time, on-device inference.
TensorFlow Blog6 min read
TensorFlow
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safetensors 0.1.0
Announcing safetensors, a new R package allowing for reading and writing files in the safetensors format.
RStudio AI Blog4 min readtorch 0.11.0
torch v0.11.0 is now on CRAN. This release features much-enhanced support for executing JIT operations. We also amended loading of model parameters, and added a few quality-of-life improvements, like support for temporarily modifying the default torch device, support for specifying data types as…
RStudio AI Blog4 min readAugmenting recommendation systems with LLMs
Learn how to leverage Large language models (LLMs) to augment your ML systems in a practical application: recommendation systems.
TensorFlow Blog8 min readVisualizing and interpreting decision trees
The dtreeviz library takes this to the next level with powerful, helpful and super beautiful visualizations. Here's more about it and how to use it.
TensorFlow Blog5 min readAttend our first Developer Summit on Recommendation Systems
Attend our first Developer Summit on Recommendation System on Jun 9, 2023.
TensorFlow Blog2 min readLLaMA in R with Keras and TensorFlow
Implementation and walk-through of LLaMA, a Large Language Model, in R, with TensorFlow and Keras.
RStudio AI Blog26 min readGroup-equivariant neural networks with escnn
Escnn, built on PyTorch, is a library that, in the spirit of Geometric Deep Learning, provides a high-level interface to designing and training group-equivariant neural networks. This post introduces important mathematical concepts, the library's key actors, and essential library use.
RStudio AI Blog16 min readluz 0.4.0
luz v0.4.0 is now on CRAN. This release adds support for training models on ARM Mac GPUs, reduces the overhead of using luz, and makes it easier to checkpoint and resume failed runs.
RStudio AI Blog4 min readtorch 0.10.0
torch v0.10.0 is now on CRAN. This version upgraded the underlying LibTorch to 1.13.1, and added support for Automatic Mixed Precision. As an experimental feature, we now also support pre-built binaries, so you can install torch without having to deal with the CUDA installation.
RStudio AI Blog5 min readDe-noising Diffusion with torch
Currently, in generative deep learning, no other approach seems to outperform the family of diffusion models. Would you like to try for yourself? If so, our torch implementation of de-noising diffusion provides an easy-to-use, easy-to-configure interface.
RStudio AI Blog7 min readDeep Learning and Scientific Computing with R torch: the book
Please allow us to introduce Deep Learning and Scientific Computing with R torch. Released in e-book format today, and available freely online, this book starts out by introducing torch basics. From there, it moves on to various deep-learning use cases.
RStudio AI Blog4 min readImplementing rotation equivariance: Group-equivariant CNN from scratch
We code up a simple group-equivariant convolutional neural network (GCNN) that is equivariant to rotation. The world may be upside down, but the network will know.
RStudio AI Blog12 min readI uncovered 1700 Coursera Courses that Are Still Completely Free
By Dhawal Shah Is Coursera Free? At Class Central, we get that question so often that I wrote a guide to answer it. Nowadays, most Coursera courses are free to audit. But if you want to complete graded assignments or get a course certificate, you hav...
freeCodeCamp — Startup84 min readUpside down, a cat's still a cat: Evolving image recognition with Geometric Deep Learning
In this first in a series of posts on group-equivariant convolutional neural networks (GCNNs), meet the main actors — groups — and concepts (equivariance).
RStudio AI Blog9 min readAO, NAO, ENSO: A wavelet analysis example
El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Arctic Oscillation (AO) are atmospheric phenomena of global impact that strongly affect people's lives.
RStudio AI Blog19 min readWavelet Transform - with torch
torch does not have built-in functionality to do wavelet analysis. But we can efficiently implement what we need, making use of the Fast Fourier Transform (FFT). This post is a very first introduction to wavelets, suitable for readers that have not encountered it before.
RStudio AI Blog18 min readtorch 0.9.0
torch v0.9.0 is now on CRAN. This version adds support for ARM systems running macOS, and brings significant performance improvements.
RStudio AI Blog4 min read
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