rust
awesome-rust
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rust | awesome-rust | |
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9 | 37 | |
4,984 | 42,654 | |
2.2% | 2.9% | |
5.2 | 9.4 | |
5 months ago | 8 days ago | |
Rust | Rust | |
Apache License 2.0 | Creative Commons Zero v1.0 Universal |
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
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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
awesome-rust
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Help me stop hating rust
It can be tricky to find learning resources that is perfectly tailored to the exact point we’re you’re standing right now. Especially if you already have prior experience.
But since you’re already familiar with programming, perhaps just dive right in…?
I.e. start a new project in Rust. You could do something like Advent of Code, Project Euler or Cryptopals[0]. Or write a simple webserver or whatever you feel like.
Don’t forget that ChatGPT can be quite useful for stuff like this. You can use it like a mentor. Just ask it anything you want to, make it show you examples (and then more examples) and so on. The answers might not be correct all of the time, but at least it can give you an idea of what docs to read next.
If you’re looking for blog posts, an acquaintance of mine has written some: https://priver.dev/tags/rust/
For more links to code/learning resources, see https://github.com/rust-unofficial/awesome-rust
And if you get stuck you also have the official Rust chats on Zulip/Discord.
HTH. Best of luck!
[0] https://cryptopals.com/
- A curated list of Rust code and resources
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Writing your own CLI in rust
View on GitHub
- What are some of projects to start with for a beginner in rust but experienced in programming (ex: C++, Go, python) ?
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Disappointing experience with 'Command-Line Rust': Seeking more comprehensive Rust resources
I did find the official https://doc.rust-lang.org/book/ quite useful, it's more than enough to understand the language itself. Command-line programing is not a complicated thing, basically you have the CLI arguments, environment variables, stdin-stdout-sterr and nothing else. A few crates to start with: clap, dotenv, config, log4rs. Just go the crate documentation, there are many good examples there, no other book is neccessary. If you have a specific problem to solve, start to browse crates.io or https://github.com/rust-unofficial/awesome-rust for possible solutions.
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58 Rust Resources Every Learner Should Know in 2023
37. Awesome Rust is a great repo with a huge curated list of plenty with Rust code and resources. You can find complete applications in different areas that were built based on Rust.
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GitHub official Twitter account just posted about my Rust project: if it’s a dream don’t wake me up
Post it there https://github.com/rust-unofficial/awesome-rust
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Need Project Idea Advice
I'd recommend taking a look at https://github.com/rust-unofficial/awesome-rust and seeing if anything interests you that way.
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Rust project list from simple to complex?
Not really sorted by complexity, but awesome-rust might be close to what you're looking for.
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Blessed.rs – An unofficial guide to the Rust ecosystem
See also:
https://github.com/rust-unofficial/awesome-rust
This list is currently far more comprehensive, and it's filled with a lot of high-quality crates.
What are some alternatives?
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
pulsar-rs - Rust Client library for Apache Pulsar
leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
starsector-mod-manager-rust - A mod manager for Starsector, a space fleet-battle and economics simulator. This time written in Rust.
anyhow - Flexible concrete Error type built on std::error::Error
RustScan - 🤖 The Modern Port Scanner 🤖
Rustup - The Rust toolchain installer
quaint - SQL Query AST and Visitor for Rust
rusty-machine - Machine Learning library for Rust
static-analysis - ⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
odbc-api - ODBC (Open Database Connectivity) bindings for Rust.