maturin
Dlib
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maturin | Dlib | |
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37 | 33 | |
3,156 | 12,928 | |
6.5% | - | |
9.4 | 7.9 | |
5 days ago | 15 days ago | |
Rust | C++ | |
Apache License 2.0 | Boost Software License 1.0 |
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.
maturin
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In Rust for Python: A Match from Heaven
This story unfolds as a captivating journey where the agile Flounder, representing the Python programming language, navigates the vast seas of coding under the wise guidance of Sebastian, symbolizing Rust. Central to their adventure are three powerful tridents: cargo, PyO3, and maturin.
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Feedback from calling Rust from Python
-- Maturin on GitHub
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Some Reasons to Avoid Cython
My new favorite way to write very fast libraries for Python is to just use Rust and Maturin:
https://github.com/PyO3/maturin
It basically automates everything for you. If you use it with Github actions, it will compile wheels for you on each release for every platform and python version you want, and even upload them to PyPi (pip) for you. Everything feels very modern and well thought out. People really care about good tooling in the Rust world.
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Which programming language to focus on for my PhD journey in bioinformatics?
Python first, you will be able to experiment quickly with the notebooks. Then maybe write (or rewrite) some modules in Rust that you can expose as python modules, with py03 and maturin. Feel free to publish useful packages on both crates.io and pypi.org, so you can contribute to Python and Rust ecosystems.
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python to rust migration
Now if you really want to use Rust, you can rewrite only the part that are slowing down your consumer. It's easy by using Py03 and maturin. Maybe also rayon to parallelize.
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Blog Post: Making Python 100x faster with less than 100 lines of Rust
In this case, PyO3/maturin does all the setup and getting the module into Python. They also have docs going into a lot more depth on this.
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Is Rust faster than Python out of the box
Lastly if you're willing to introduce Rust, I'd consider a gradual approach using native libraries built in rust with PYO3. Check the maturin guide that helps you to streamline the build process of native libraries : https://github.com/PyO3/maturin . From there you could try to find hotspots in your python app and replace those with a native implementation.
- sccache now supports GHA as backend
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Show HN: Python library for embedding large graphs (Written in Rust)
I like how this is a Rust project without any Python, that publishes a package to PyPI.
It uses Maturin (https://github.com/PyO3/maturin) for this, which I've never heard of but sounds really useful.
- Carefully exploring Rust as a Python developer
Dlib
- Modern Image Processing Algorithms Implementation in C
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[Cpp] Une assez grande liste de bibliothèques graphiques C ++
dlib
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What are some C++ projects with high quality code that I can read through?
I really like dlib's code https://github.com/davisking/dlib
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C++ for machine learning
Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow.
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Flutter OpenCV and dlib for face detector & recognition
The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples.
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student in desperate need of help/ guidance
You could start with DLIB and Geitgey's Face Recognition. They are pretty off-the-shelf packages, which should run fine on a single Intel processor (considering it's not too old).
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How to embed a dlib based face recognition library written in python?
I want use this library: https://github.com/ageitgey/face_recognition. Its a python library based on https://dlib.net for face recognition
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[D] Is Rust stable/mature enough to be used for production ML? Is making Rust-based python wrappers a good choice for performance heavy uses and internal ML dependencies in 2021?
Why not do it all in C++? Dlib has good support for ML. For instance, this is how one would do a simple MNIST example:
- Are 3 monitors worth it? Yes, absolutely yes.
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Hacker News top posts: Jul 26, 2021
Dlib: Modern C++/Python Toolkit for Machine Learning\ (14 comments)
What are some alternatives?
mlpack - mlpack: a fast, header-only C++ machine learning library
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Poetry - Python packaging and dependency management made easy
Boost - Super-project for modularized Boost
Face Recognition - The world's simplest facial recognition api for Python and the command line
setuptools-rust - Setuptools plugin for Rust support
termux-packaging - Termux packaging tools.
OpenCV - Open Source Computer Vision Library
Caffe - Caffe: a fast open framework for deep learning.
javascript-algorithms - 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Qt - Qt Base (Core, Gui, Widgets, Network, ...)
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)