Machine learning and Programming Languages
- Python 下的 TensorFlow 以及 torch 底层都是通过 C++ 实现的，考虑到性能的需要；
- Java：Weka
- C/C++：regression（Liblinear），SVM（Libsvm）
- Eric Yuan’s Blog（C++ 实现各种算法，以 OpenCV 作为矩阵运算的库）
1. C++开源库
矩阵运算库：
- JMLR Machine Learning Open Source Software
- mlpack ：C++ machine learning library.
SHARK ：a modular C++ library for the design and optimization of adaptive systems. It provides methods for ：
- linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms,
- kernel-based learning algorithms and neural networks, and various 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: Windows, Solaris, MacOS X, and Linux.
Dlib-ml：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.
Eblearn：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.
- In particular, the library provides a complete set of tools for building, training, and running convolutional networks.
2. 机器学习的开源软件
MLOSS：Machine Learning Open Source Software
3. 机器学习知识框架图
