rust
CNTK
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| rust | CNTK | |
|---|---|---|
| 9 | - | |
| 4,986 | 21 | |
| 2.2% | - | |
| 5.2 | 0.0 | |
| 5 months ago | about 6 years ago | |
| Rust | Rust | |
| Apache License 2.0 | 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.
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
CNTK
We haven't tracked posts mentioning CNTK yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
rustlearn - Machine learning crate for Rust
anyhow - Flexible concrete Error type built on std::error::Error
rusty-machine - Machine Learning library for Rust
Rustup - The Rust toolchain installer
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
coreutils - Cross-platform Rust rewrite of the GNU coreutils