arrayfire-rust
Rust wrapper for ArrayFire (by arrayfire)
niura
Automatic differentiation in pure Rust. (by taminki)
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arrayfire-rust | niura | |
---|---|---|
4 | 2 | |
804 | 10 | |
-0.4% | - | |
0.0 | 2.9 | |
7 months ago | almost 2 years ago | |
Rust | Rust | |
BSD 3-clause "New" or "Revised" License | Mozilla Public License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
arrayfire-rust
Posts with mentions or reviews of arrayfire-rust.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-26.
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Making a better Tensorflow thanks to strong typing
Take a look at arrayfire-rust! :)
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Fast Linear Algebra library for Rust
I haven't tried it myself, but I believe that arrayfire-rust supports GPU.
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Saving an ArrayFire Array
the Git Repo is here.
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State of CUDA on Rust in the beginning of 2021 ?
edit: I apparently missed seeing ArrayFire Rust library. It looks like if you wanted to still use Rust and CUDA this might be your best option for at least compute applications.
niura
Posts with mentions or reviews of niura.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-26.
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Making a better Tensorflow thanks to strong typing
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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niura: Automatic differentiation library that's actually easy to use
If you like niura, please give it a star at https://github.com/taminki/niura, it'll look good on my university application 🤗.
What are some alternatives?
When comparing arrayfire-rust and niura you can also consider the following projects:
nalgebra - Linear algebra library for Rust.
futhark - :boom::computer::boom: A data-parallel functional programming language
rust-opencl - OpenCL bindings for Rust.
ILGPU - ILGPU JIT Compiler for high-performance .Net GPU programs
collenchyma - Extendable HPC-Framework for CUDA, OpenCL and common CPU
Emu - The write-once-run-anywhere GPGPU library for Rust
ArrayFire - ArrayFire: a general purpose GPU library.
nphysics - 2 and 3-dimensional rigid body physics engine for Rust.
RustaCUDA - Rusty wrapper for the CUDA Driver API
ncollide - 2 and 3-dimensional collision detection library in Rust.
cgmath-rs - A linear algebra and mathematics library for computer graphics.
juice - Juice inlines CSS stylesheets into your HTML source.
arrayfire-rust vs nalgebra
arrayfire-rust vs futhark
arrayfire-rust vs rust-opencl
arrayfire-rust vs ILGPU
arrayfire-rust vs collenchyma
arrayfire-rust vs Emu
arrayfire-rust vs ArrayFire
arrayfire-rust vs nphysics
arrayfire-rust vs RustaCUDA
arrayfire-rust vs ncollide
arrayfire-rust vs cgmath-rs
arrayfire-rust vs juice