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Maximum Entropy Modeling Toolkit for Python and C++
Shogun - A Large Scale Machine Learning Toolbox.
MILK - Machine Learning Toolkits in Python.
国际流行开源机器学习和模式识别工具

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Read Jekyll Quick Start
Complete usage and documentation available at: Jekyll Bootstrap
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Markdown 语法说明 (简体中文版)
Jekyll 中的语法高亮：Pygments
利用Jekyll搭建个人博客
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Jekyll - Syntax highlighting

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#include <stdio.h>
int main(int argc, char **argv)
{
    printf("Hello, World!\n");
    return 0;
}

#include <stdio.h>
int main(int argc, char **argv)
{
    printf("Hello, World!\n");
    return 0;
}

\documentclass{article}
\usepackage[koi8-r]{inputenc}
\hoffset=0pt
\voffset=.3em
\tolerance=400
\newcommand{\eTiX}{\TeX}
\begin{document}
\section*{Highlight.js}
\begin{table}[c|c]
$\frac 12\, + \, \frac 1{x^3}\text{Hello \! world}$ & \textbf{Goodbye\~ world} \\\eTiX $ \pi=400 $
\end{table}
Ch\'erie, \c{c}a ne me pla\^\i t pas! % comment \b
G\"otterd\"ammerung~45\%=34.
$$
    \int\limits_{0}^{\pi}\frac{4}{x-7}=3
$$
\end{document}

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