#Apple is sponsoring work to add a #CUDA backend for #MLX ๐Ÿ™ƒ

https://github.com/ml-explore/mlx/pull/1983

Really looking forward to seeing the first fruits (๐Ÿฅ) of this endeavour - pushed, in particular, by https://github.com/zcbenz and https://github.com/awni

... and not least to play with it from #JuliaLang - hot-swapping between #Torch and #MLX via the #JuliaLang #FluxML NNlib abstraction layer.

[WIP] CUDA backend by zcbenz ยท Pull Request #1983 ยท ml-explore/mlx

This PR is an ongoing effort to add a CUDA backend to MLX, very little things work now but you can run the tutorial example already. To build and test: $ cmake . -Bbuild -DMLX_BUILD_CUDA=ON -DMLX_B...

GitHub

I tested Julia's DataAugmentation.jl package, an image augmentation library for deep learning. I have to say, I am impressed:

https://blog.paulnovo.us/posts/augmentation/

#Julia #JuliaLang #FluxML #DeepLearning

Image Augmentation in Julia and Questioning my Life Choices โ€“ paulnovo.us

paulnovo.us

Testing Quarto for a new blog. For my first post, I tried its embedded Julia support with a simple deep learning example.

https://blog.paulnovo.us/posts/welcome/

#Quarto #Julia #JuliaLang #FluxML

Testing Quarto with Julia and Flux โ€“ paulnovo.us

paulnovo.us