https://github.com/elixir-nx/nx

Multi-dimensional arrays (tensors) and numerical definitions for Elixir
https://github.com/elixir-nx/nx

elixir gpu jit numerical pytorch tensor xla

Last synced: 12 days ago
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Multi-dimensional arrays (tensors) and numerical definitions for Elixir

• Host: GitHub
• URL: https://github.com/elixir-nx/nx
• Owner: elixir-nx
• Created: 2020-10-29T00:15:01.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-05-22T07:17:07.000Z (6 months ago)
• Last Synced: 2024-05-22T12:16:59.320Z (6 months ago)
• Topics: elixir, gpu, jit, numerical, pytorch, tensor, xla
• Language: Elixir
• Homepage:
• Size: 6.32 MB
• Stars: 2,501
• Watchers: 58
• Forks: 187
• Open Issues: 21
• Metadata Files:
  • Readme: README.md
  • Citation: CITATION.cff

Awesome Lists containing this project

• fucking-awesome-elixir - Nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir. (Artificial Intelligence)
• awesome-elixir - Nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir. (Artificial Intelligence)

README

        
This repository currently holds the following projects:

  * [`Nx`](https://github.com/elixir-nx/nx/tree/main/nx#readme) - Multi-dimensional arrays (tensors) and numerical definitions for Elixir

  * [`EXLA`](https://github.com/elixir-nx/nx/tree/main/exla#readme) - Google's XLA (Accelerated Linear Algebra) compiler/backend for Nx

  * [`Torchx`](https://github.com/elixir-nx/nx/tree/main/torchx#readme) - LibTorch backend for Nx

Each has their own README, which you can access above to learn more. They will be extracted to their own repository in the future. Examples and benchmarks are available in the `EXLA` project.

[Check our organization page for a general introduction to Machine Learning in Elixir](https://github.com/elixir-nx/).