Top 23 Rust Machine Learning Projects
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Project mention: [D] Why does AMD do so much less work in AI than NVIDIA? | reddit.com/r/MachineLearning | 2021-11-09
I used a lot of the dependencies behind the leaf framework which was abandoned by its authors a while back due to funding issues, as I implemented it in Rust and most bindings were maintained while the leaf framework itself wasn't anymore.
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Project mention: Integrating machine learning models into Rust applications? | reddit.com/r/rust | 2022-03-19
(3) You could use TensorFlow as your executor: https://github.com/tensorflow/rust
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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Project mention: What is a FOSS which is needed but doesn't exist yet/needs contributers? | reddit.com/r/rust | 2022-02-16
Check out smartcore and linfa. At work I was badly in need of an NMF function similar to MATLAB's one these days but not enough time to write one myself. If you're good at math and machine learning, this sounds like a task you could try tackling.
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Project mention: [D] To what extent can Rust be used for Machine Learning? | reddit.com/r/MachineLearning | 2022-04-14
There's a good quality wrapper for the torch library: https://github.com/LaurentMazare/tch-rs
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tangram
Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
Project mention: Train a Machine Learning Model to Predict the Programming Language in a Code Snippet | dev.to | 2022-02-15Head over to https://www.tangram.dev and give it a try!
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rust-bert
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Project mention: [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? | reddit.com/r/MachineLearning | 2021-12-30If you are using BERT models and some miscellaneous other related stuff then you should check out the rust-bert and Bert Sentence repos https://github.com/guillaume-be/rust-bert
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Project mention: Announcing neuronika 0.1.0, a deep learning framework in Rust | reddit.com/r/rust | 2021-06-15
How does it compare to juice?
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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nlprule
A fast, low-resource Natural Language Processing and Text Correction library written in Rust.
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PERSIA
High performance distributed framework for training deep learning recommendation models based on PyTorch.
Project mention: Researchers Introduce ‘PERSIA’: A PyTorch-Based System for Training Large Scale Deep Learning Recommendation Models up to 100 Trillion Parameters | reddit.com/r/machinelearningnews | 2021-12-05Github: https://github.com/persiaml/persia
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Project mention: [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? | reddit.com/r/MachineLearning | 2021-12-30
Hey OP, you might want to check this site out: http://arewelearningyet.com
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smartcore
SmartCore is a comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
Project mention: What is a FOSS which is needed but doesn't exist yet/needs contributers? | reddit.com/r/rust | 2022-02-16Check out smartcore and linfa. At work I was badly in need of an NMF function similar to MATLAB's one these days but not enough time to write one myself. If you're good at math and machine learning, this sounds like a task you could try tackling.
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Project mention: Where to Learn Vulkan for parallel computation (with references to porting from CUDA) | reddit.com/r/vulkan | 2022-01-04
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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rsrl/transforms.rs at master · tspooner/rsrl (github.com) (thanks to the authors.)
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Tensorflow (and by extension Keras) offload most of the actual work to C++ or C, so having those compile to WebAssembly would (I imagine) be a herculean effort.
Instead, The TF team maintains TFJS, which can run on WebAssembly[0].
There are also tractjs[1], and onnyxjs[2], both of which allow you to run (most) ONNX models (which is an open standard for specifying ML models) using WebAssembly and WebGL(only onnyxjs supports WebGL). A bunch of frameworks (caffe, pytorch, TF) support exporting to/importing from ONNX.
[0] https://blog.tensorflow.org/2020/03/introducing-webassembly-...
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Next we'll execute the workflow. txtai has API bindings for JavaScript, Java, Rust and Golang. But to keep things simple, we'll just run the commands via cURL.
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Project mention: bhtsne 0.5.0, now 5.6x faster on a 4 core machine, plus a summary of my Rust journey (so far) | reddit.com/r/rust | 2021-10-15
bhtsne now supports parallelism, custom data types and custom user defined metrics.
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corgi
A neural network, and tensor dynamic automatic differentiation implementation for Rust. (by patricksongzy)
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Project mention: Introducing Speak, the machine-learning chatbot written in Rust | reddit.com/r/rust | 2022-05-08
Repository
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pair_adjacent_violators
An implementation of the Pair Adjacent Violators algorithm for isotonic regression in Rust
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- What is a FOSS which is needed but doesn't exist yet/needs contributers?
- Train a Machine Learning Model to Predict the Programming Language in a Code Snippet
Index
What are some of the best open-source Machine Learning projects in Rust? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | leaf | 5,475 |
| 2 | rust | 3,640 |
| 3 | linfa | 1,709 |
| 4 | tch-rs | 1,614 |
| 5 | tangram | 1,310 |
| 6 | rust-bert | 930 |
| 7 | juice | 891 |
| 8 | rustlearn | 526 |
| 9 | nlprule | 407 |
| 10 | PERSIA | 294 |
| 11 | are-we-learning-yet | 253 |
| 12 | nnsplit | 242 |
| 13 | smartcore | 241 |
| 14 | autograph | 203 |
| 15 | L2 | 152 |
| 16 | rsrl | 124 |
| 17 | tractjs | 66 |
| 18 | txtai.rs | 62 |
| 19 | bhtsne | 43 |
| 20 | CNTK | 21 |
| 21 | corgi | 16 |
| 22 | speak | 12 |
| 23 | pair_adjacent_violators | 3 |
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