reference
rust
reference | rust | |
---|---|---|
13 | 9 | |
5,111 | 4,997 | |
- | 0.9% | |
8.2 | 5.2 | |
1 day ago | 5 months ago | |
EJS | Rust | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
reference
- QuickRef.ME - Quick Reference Cheat Sheet
- QuickRef.ME - Quick Reference Cheat SheetQuick Reference Here are some cheatsheets and quick references contributed by open source angels.
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Kebihelp : The universal keybindings helper
The shortcuts imported are the default ones taken from https://quickref.me, but of course once imported you can customize them.
- Python Cheatsheet
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A complete open source vim cheatsheet
Source code: https://github.com/Fechin/reference
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Free CheatSheet(s) für Programmiersprachen!
Dann schau mal hier rein: quickref.me
- Quick Reference: Cheatsheets and quick references
- Share quick reference and cheat sheet for developers
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
What are some alternatives?
stdarch - Rust's standard library vendor-specific APIs and run-time feature detection
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
wg-grammar - Where the work of WG-grammar, aiming to provide a canonical grammar for Rust, resides
leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
kebihelp - Kebihelp, the universal key-bindings helper for Linux
anyhow - Flexible concrete Error type built on std::error::Error
ultimate-python - Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:
Rustup - The Rust toolchain installer
Rust - All Algorithms implemented in Rust
rusty-machine - Machine Learning library for Rust
rust - Empowering everyone to build reliable and efficient software.
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.