Making a better Tensorflow thanks to strong typing

• gamma

  8 381 0.0 Rust

  Computational graphs with reverse automatic differentation in the GPU

• niura

  2 10 2.9 Rust

  Discontinued Automatic differentiation in pure Rust.

i just released my own auto-diff library called niura, (it's unstable and unsafe at the moment) and i've been looking for a simple, rust-compatible way to do gpu acceleration for matrix-multiplication, could you recommend something in that regard?

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• arrayfire-rust

  4 806 0.0 Rust

  Rust wrapper for ArrayFire

  

Take a look at arrayfire-rust! :)

• juice

  3 1,087 3.5 Rust

  The Hacker's Machine Learning Engine (by spearow)

  

how does it compare with https://github.com/spearow/juice, https://github.com/neuronika/neuronika and https://github.com/spearow/juice?

• neuronika

  19 1,033 0.0 Rust

  Tensors and dynamic neural networks in pure Rust.

  

how does it compare with https://github.com/spearow/juice, https://github.com/neuronika/neuronika and https://github.com/spearow/juice?

• rust

  9 4,986 5.2 Rust

  Rust language bindings for TensorFlow (by tensorflow)

  

What is the benefit of this compared to using bindings/a wrapper to Tensorflow, or other ML libraries written in C/C++, such as this community hosted project on tensorflow's github. If it's just for fun that is a valid enough reason imo, just curious since you describe it as a better Tensorflow because of the typing vs using the python wrapper, when there already exist ways to interact with tensorflow with both Rust and other statically typed languages, also including C++ (officially supported), C#, Haskell and Scala, as well as probably having bindings not mentioned on the documentation for more niche languages.

Suggest a related project