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Introducing Nx - José Valim | Lambda Days 2021

Code SyncRecommended by 2 HN commenters across 2 months, 2021–2021
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talk · intermediate · 2021–2021 on HN

Jose Valim introduces Nx, the project bringing numerical computing to Elixir, covering multi-dimensional tensors, automatic differentiation and JIT compilation to CPU and GPU.

Recommended in Elixir and machine learning threads as the introduction to what Nx makes possible.

Functional programmingMachine learning & deep learning#elixir#nx#tensors#automaticdifferentiation

3 comments from Hacker News

@bfm2021-04 · in “Axon: A library for creating neural networks in Elixir”

If you have not been following the work José and Sean have been doing lately, I recommend you watching José’s talk introducing Elixir Nx ▶ this video

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@rmetzler2021-03 · in “Caramel: An OCaml for the Erlang VM”

Lots of people mention Nx and of course I want to do the same but with a link to a youtube video, in case you wonder what's possible currently. ▶ this video

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@Rich_Morin2021-07 · in “Ray: A Distributed Framework for Emerging AI Applications”

Although it's early days, José Valim and some other folks are working on adding AI-related capabilities to Elixir and the (Erlang) BEAM. See "Introducing Nx" ( ▶ this video ) for an intro. Given that they already have a robust Actor model as a base to work from, it occurs to me that they may be able to use some of Ray's ideas as they go along...

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