Dlib

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Dlib.png
http://dlib.net/
Dlib
Type Open source
Industry Machine Learning
Founded 2002
Key people Davis E. King (Original Author)
Related Certifications Certificate in Machine Learning Industry Overview

Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. [1]
Its software is capable of managing areas like:-

  • Networking
  • Graphical user interfaces
  • Data structures and linear algebra
  • Image processing
  • XML and text parsing
  • Numerical optimization
  • Bayesian networks


DLib works on Windows, Linux, and OS X. and is licensed under the Boost Software License. [2]

Features

Its major features include :

  • Documentation - provides complete and precise documentation for every class and function. There are also debugging modes that check the documented preconditions for functions.
  • High Quality Portable Code - All operating system specific code is isolated inside the OS abstraction layers which are kept as small as possible.
  • Machine Learning Algorithms
  • Numerical Algorithms
  • Graphical Model Inference Algorithms
  • Image Processing
  • Data Compression and Integrity Algorithms

Controversies

Top 5 Recent Tweets

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References

  1. http://dlib.net/
  2. http://www.kdnuggets.com/2014/06/dlib-library-machine-learning.html

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