Nx: Multi-dimensional tensors Elixir lib with multi-staged compilation (CPU/GPU)

• nx

  36 2,475 9.3 Elixir

  Multi-dimensional arrays (tensors) and numerical definitions for Elixir (by elixir-nx)

  

Also just above (https://github.com/elixir-nx/nx/tree/main/exla), exla is an "Elixir client for Google's XLA (Accelerated Linear Algebra). It includes integration with the Nx library to compile numerical definitions (defn) to the CPU/GPU."

• ez

  2 34 0.0 Elixir

  zig linear algebra bindings for nx

The Nx architecture is quite good. I started work on a backend that avoids requiring jvm/bazel/python toolchain (substituting in a zig toolchain):

https://github.com/ityonemo/ez

• InfluxDB

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• The-Spiral-Language

  33 907 9.7 Python

  Functional language with intensional polymorphism and first-class staging.

As a programmer with no ML/GPU experience, this reminds me of the Spiral language: https://github.com/mrakgr/The-Spiral-Language

I wonder if Nx will succeed due being "just" a library for a popular language (Elixir) instead of being a separate language entirely.

"Don't make a new language if your idea could be implemented as a library" is good advice indeed.

• Elixir

  133 23,345 9.8 Elixir

  Elixir is a dynamic, functional language for building scalable and maintainable applications

  

Elixir allows overloading the operators or creating custom ones, but only certain symbols are recognized in the parser, to add new operators the Elixir parser needs to be changed.

You can see them here https://github.com/elixir-lang/elixir/blob/master/lib/elixir...

Not all of them are defined in the language, the list of the unused infix operator includes

    \\, <-, |, ~>>, <<~, ~>, <~, <~>, <|>, <<<, >>>, |||, &&&, and ^^^

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