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2D Cellular Automaton Simulation

2D Cellular Automaton Simulation - Mad Cloud Games.A cellular automaton (pl. cellular automata, abbrev. CA) is a discrete model studied in computability theory, mathematics, physics,complexity science, theoretical biology and microstructure modeling. Cellular automata are also called cellular spaces...

spinal codes resource codes

Spinal codes are a new family of rateless codes. They apply a random hash function over the message bits to produce pseudo-random bits, which in turn can (optionally) be mapped directly to a dense Gaussian or uniform constellation for transmission. A good, perhaps even ideal, solution to this p...


#   程序:百度贴吧爬虫   #   版本:0.1   #   作者:why   #   日期:2013-05-14   #   语言:Python 2.7   #...

python knn

# -*- coding: utf-8 -* from numpy import * import operator def createDataSet(): group = array([[1.0,1.1],[1.0,1.0],[0,0],[0,0.1]]) labels=['A','A','B','B'] return group,labels # Special attention to Numpy matrix expression: a=array ([[1,2,3],[4,5,6]]) this is a 2-by-3 matrix # The...

python tcp Clien ,Server

Learning Python TCP programming, a small demo, take the form of buffer, in passing messages between client and server. Is a good example to learn Python TCP programming....

DTMF decoder written in cython (python use directly, very close to C in efficiency)

DTMF decoder written in cython (python use directly, very close to C in efficiency)...

LinkedIN Clone

This is a clone for LinkedIn, It helps user to connect in a professional environment and share their skills with their professional friends....

svm smo python code

Implementation of SVM algorithm using Python language, to achieve a simplified version, including the realization of the full version of realization and optional with kernel function. And contains a number of simple data sets, used for test validation....

MapReduce source code

MapReduce application development framework is very perfect, very practical! Letyou quickly learn to write your own MapReduce, quick start!...

KNN algorithm source code

Knn is a relatively simple algorithms for supervised learning, core idea is that if a sample of the kNN algorithm in feature space k the most most of adjacent samples belonging to a category, then the sample is also included in this category, and have the sample feature on this category. The functio...

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