C ++ open-source machine learning library and machine learning knowledge framework (being updated)

1) mlpack is a C ++ Machine Learning Library.
2) plearn is a C ++ library aimed at research and development in the field of statistical machine learning algorithms. its originality is to allow to easily express, directly in C ++ in a straightforward manner, complex non-linear
Functions to be optimized.
3) waffles-C ++ machine learning.
4) torch7 provides a MATLAB-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation
5) shark is a modular C ++ library for the design and optimization of adaptive systems. it provides methods for linear and nonlinear optimization, in particle evolutionary and gradient-based algorithms, kernel-Based Learning
Algorithms and neural networks, and varous other machine learning techniques. Shark serves as a toolbox to support real world applications as well as research in different domains of Computational Intelligence and machine learning. The sources are compatible
With the following platforms: Windows, Solaris, MacOS X, and Linux.
6) dlib-ML is an open source library, targetedat both engineers and research scientists, which aims to provide a similarly rich environment fordeveloping machine learning software in the C ++ language.
7) eblearn is an object-oriented C ++ library that implements various machine learning models, including energy-based learning, gradient-based learning for machine composed of multiple heterogeneous modules,
The Library provides a complete set of tools for building, training, and running convolutional networks.
8) Machine Learning Open Source Software: Journal of machine learning research: http://jmlr.csail.mit.edu/mloss.
9) search in Google: C ++ site: jmlr.csail.mit.edu filetype: PDF, machine learning Toolkit
10) Sigma: large-scale and Parallel Machine-learning tool kit
11) http://sourceforge.net/directory/science-engineering/ai/machinelearning/ OS :windows/freshness:recently-updated/

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12) Elf: ensemble learning framework. Features: C ++, supervised learning, using Intel's IPP and MKL, training speed and accuracy are the main objectives. Http://elf-project.sourceforge.net/
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13) http://mloss.org/software/ Machine Learning Open Sources software. It is an index website.

14) http://drwn.anu.edu.au/index.html

Add a knowledge framework for machine learning:

(Sina Weibo: @ quanliang _ machine learning)