gamma
rust
gamma | rust | |
---|---|---|
8 | 9 | |
381 | 4,997 | |
- | 0.9% | |
0.0 | 5.2 | |
over 1 year ago | 5 months ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | 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.
gamma
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Announcing dfdx - an deep learning library built with const generics
There's other differences in how nn layers are implemented if you compare the source of linear layers: https://github.com/coreylowman/dfdx/blob/main/src/nn/linear.rs vs https://github.com/c0dearm/mushin/blob/main/src/nn/layers/linear.rs
- Which areas in tech have the most job density using Rust?
- Mushin: Automatic Differentiation in the GPU with Rust
- Making a better Tensorflow thanks to strong typing
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Using const generics to build neural networks
https://github.com/c0dearm/gamma/pull/1 first pr :)
- What’s everyone working on this week (14/2021)?
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?
robusta - Easy interop between Rust and Java
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Epic-Asset-Manager - A frontend to Assets purchased on Epic Games Store
leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
doc_panic_checker
anyhow - Flexible concrete Error type built on std::error::Error
neurotic - The compile-time feedforward neural network library that no one asked for
Rustup - The Rust toolchain installer
python-compiler - A compiler for a subset of Python using LLVM
rusty-machine - Machine Learning library for Rust
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.