are-we-learning-yet
How ready is Rust for Machine Learning? (by anowell)
Dlib
A toolkit for making real world machine learning and data analysis applications in C++ (by davisking)
Our great sponsors
| are-we-learning-yet | Dlib | |
|---|---|---|
| 5 | 33 | |
| 422 | 12,991 | |
| - | - | |
| 4.9 | 7.9 | |
| 3 days ago | 6 days ago | |
| Rust | C++ | |
| Creative Commons Attribution 4.0 | Boost Software License 1.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
are-we-learning-yet
Posts with mentions or reviews of are-we-learning-yet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-02.
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This year I tried solving AoC using Rust, here are my impressions coming from Python!
Also http://arewelearningyet.com
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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?
Hey OP, you might want to check this site out: http://arewelearningyet.com
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Is rust good for mathematical computing?
Note that you can update the page (adding packages or updating descriptions) via those github issues: https://github.com/anowell/are-we-learning-yet/issues
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I wanted to share my experience of Rust as a deep learning researcher
Not sure if you’ve encountered it, but you should be aware of http://arewelearningyet.com
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Announcing neuronika 0.1.0, a deep learning framework in Rust
Just make a PR: https://github.com/anowell/are-we-learning-yet
Dlib
Posts with mentions or reviews of Dlib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
- 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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32 years old. HRT in April or May. Things I can do to maximize results and what to expect.
The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily.
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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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What programming language should I learn after C++ for Audio DSP?
If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?.
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Exponential vs linear progress?
The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot.
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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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How long after starting HRT did facial recognition not recognize you?
The dlib facial recognition model thinks that I am now a distance of about 0.3 from where I started, which is far enough to start getting many false positive matches, but still within the design intent that different pictures of the same individual will be within 0.6 of each other.
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Does hrt effect facial recognition software?
Dlib's face recognition module thinks that I am about 0.25 units away from where I started; its design intent is that distinct individuals will be 0.6 or more apart, although in practice other people start showing up around 0.3.
What are some alternatives?
When comparing are-we-learning-yet and Dlib you can also consider the following projects:
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
mlpack - mlpack: a fast, header-only C++ machine learning library
neuronika - Tensors and dynamic neural networks in pure Rust.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
wgpu - Cross-platform, safe, pure-rust graphics api.
Boost - Super-project for modularized Boost
book - The Rust Programming Language
Face Recognition - The world's simplest facial recognition api for Python and the command line
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
OpenCV - Open Source Computer Vision Library
Awesome-Rust-MachineLearning - This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
Caffe - Caffe: a fast open framework for deep learning.
are-we-learning-yet vs rust-gpu
Dlib vs mlpack
are-we-learning-yet vs neuronika
Dlib vs Pytorch
are-we-learning-yet vs wgpu
Dlib vs Boost
are-we-learning-yet vs book
Dlib vs Face Recognition
are-we-learning-yet vs rust-bert
Dlib vs OpenCV
are-we-learning-yet vs Awesome-Rust-MachineLearning
Dlib vs Caffe