mlpack
Dlib
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mlpack | Dlib | |
---|---|---|
4 | 33 | |
4,742 | 12,928 | |
1.6% | - | |
9.9 | 7.9 | |
4 days ago | 16 days ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | 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.
mlpack
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What is the most used library for AI in C++ ?
mlpack is a great library for machine learning in C++. It's very fast and not too much of a learning curve.
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Ensmallen: A C++ Library for Efficient Numerical Optimization
This toolkit was originally part of the mlpack machine learning library (https://github.com/mlpack/mlpack) before it was split out into a separate, standalone effort.
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Top 10 Python Libraries for Machine Learning
Github Repository: https://github.com/mlpack/mlpack Developed By: Community, supported by Georgia Institute of technology Primary purpose: Multiple ML Models and Algorithms
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?
tensorflow - An Open Source Machine Learning Framework for Everyone
SHOGUN - Shōgun
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Boost - Super-project for modularized Boost
Face Recognition - The world's simplest facial recognition api for Python and the command line
Caffe - Caffe: a fast open framework for deep learning.
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
OpenCV - Open Source Computer Vision Library
examples - TensorFlow examples
NN++ - A small and easy to use neural net implementation for C++. Just download and #include!