rust
Rust language bindings for TensorFlow (by tensorflow)
rusty-machine
Machine Learning library for Rust (by AtheMathmo)
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| rust | rusty-machine | |
|---|---|---|
| 9 | - | |
| 4,984 | 1,181 | |
| 2.2% | - | |
| 5.2 | 0.0 | |
| 5 months ago | almost 4 years ago | |
| Rust | Rust | |
| Apache License 2.0 | MIT License |
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.
rust
Posts with mentions or reviews of rust.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-20.
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Have you ever wanted a library to check for 69 in a string?
You can use Tensorflow for Rust to simplify that task and avoid pain with regex. Just have the right mindset.
- Rust vs cpp for a new engineer to autonomous vehicles and robotics
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Making a better Tensorflow thanks to strong typing
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.
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Integrating machine learning models into Rust applications?
(3) You could use TensorFlow as your executor: https://github.com/tensorflow/rust
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Why Static Languages Suffer From Complexity
TensorFlow has language support for TypeScript well as Rust.
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Is PyO3 library production ready?
Thank you for the restponse! With tensorflow I am probably better of with something like; [tensorflow rust bindings](https://github.com/tensorflow/rust/tree/master/src). But I believe some useful extensions are still written in python for example; [TFDV](https://github.com/tensorflow/data-validation).. and how about scikit-learn or even something that is simpler like fb-prophet that is entirely written in python?
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How mature is the QT integration?
Tensorflow bindings exist, technically, but they're in a pretty rough state AFAIK.
- Feasibility of Using a Python Image Super Resolution Library in My Rust App
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Rusticles #10 - Wed Sep 09 2020
tensorflow/rust (Rust): Rust language bindings for TensorFlow
rusty-machine
Posts with mentions or reviews of rusty-machine.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning rusty-machine yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing rust and rusty-machine you can also consider the following projects:
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
rustlearn - Machine learning crate for Rust
leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
anyhow - Flexible concrete Error type built on std::error::Error
linfa - A Rust machine learning framework.
Rustup - The Rust toolchain installer
CNTK - Wrapper around Microsoft CNTK library
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
tch-rs - Rust bindings for the C++ api of PyTorch.
coreutils - Cross-platform Rust rewrite of the GNU coreutils