are-we-learning-yet
How ready is Rust for Machine Learning? (by anowell)
autograph
Machine Learning Library for Rust (by charles-r-earp)
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| are-we-learning-yet | autograph | |
|---|---|---|
| 5 | 5 | |
| 422 | 298 | |
| - | - | |
| 4.9 | 9.2 | |
| 5 days ago | 21 days ago | |
| Rust | Rust | |
| Creative Commons Attribution 4.0 | Apache 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.
are-we-learning-yet
Posts with mentions or reviews of are-we-learning-yet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-02.
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This year I tried solving AoC using Rust, here are my impressions coming from Python!
Also http://arewelearningyet.com
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[D] Is Rust stable/mature enough to be used for production ML? Is making Rust-based python wrappers a good choice for performance heavy uses and internal ML dependencies in 2021?
Hey OP, you might want to check this site out: http://arewelearningyet.com
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Is rust good for mathematical computing?
Note that you can update the page (adding packages or updating descriptions) via those github issues: https://github.com/anowell/are-we-learning-yet/issues
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I wanted to share my experience of Rust as a deep learning researcher
Not sure if you’ve encountered it, but you should be aware of http://arewelearningyet.com
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Announcing neuronika 0.1.0, a deep learning framework in Rust
Just make a PR: https://github.com/anowell/are-we-learning-yet
autograph
Posts with mentions or reviews of autograph.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-04.
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Where to Learn Vulkan for parallel computation (with references to porting from CUDA)
I'm working on a machine learning library https://github.com/charles-r-earp/autograph implemented in Rust that uses rust-gpu to compile Rust compute shaders to spirv, and then gfx_hal to target metal and dx12. Training performance is currently about 2x slower than pytorch (cuda) on my laptop but I've made significant progress recently and I am targeting 1.5x. While rust-gpu itself has it's own restrictions, it does support inline spirv assembly, which provides direct access to operations not provided in its std lib, thus it's lower level than GLSL. For example, it should be possible to target cuda tensor cores via cooperative matrix operations (I believe Metal supports these as well but this may not be implemented in spirv-cross and certainly isn't in naga). Once I have things a bit more stabilized I'd like to provide more examples, like porting from cuda / opencl, but I'm still figuring out patterns like how to work with 16 and 8 bit types in a nice and portable way.
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autograph v0.1.0
autograph v0.1.0
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What's the current state of GPU compute in rust?
Working on autograph, for machine learning and neural networks. Unlike CUDA / HIP it's threadsafe, but doesn't expose low level things like multiple streams. Most of the shaders are glsl but I'm now using rust_gpu for pure rust gpu code.
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Announcing neuronika 0.1.0, a deep learning framework in Rust
Maybe not for learning but as inspiration I have to plug this amazing effort for ML with (vulkan) shaders: https://github.com/charles-r-earp/autograph
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What do you think about a library that helps reducing the overhead of GPU programming, regarding ndimensional Arrays?
Maybe you'd be interested in checking out my library, https://github.com/charles-r-earp/autograph?
What are some alternatives?
When comparing are-we-learning-yet and autograph you can also consider the following projects:
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
neuronika - Tensors and dynamic neural networks in pure Rust.
RustaCUDA - Rusty wrapper for the CUDA Driver API
wgpu - Cross-platform, safe, pure-rust graphics api.
petgraph - Graph data structure library for Rust.
book - The Rust Programming Language
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
Awesome-Rust-MachineLearning - This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
juice - The Hacker's Machine Learning Engine
are-we-learning-yet vs rust-gpu
autograph vs neuronika
are-we-learning-yet vs neuronika
autograph vs RustaCUDA
are-we-learning-yet vs wgpu
autograph vs petgraph
are-we-learning-yet vs book
autograph vs rust-gpu
are-we-learning-yet vs rust-bert
autograph vs VkFFT
are-we-learning-yet vs Awesome-Rust-MachineLearning
autograph vs juice