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  1. 编程语言:Python
  2. 代码类别:网络
  3. 发布时间:不限
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1. Python机器学习_预测分析核心算法_all code

  Python机器学习——预测分析核心算法(MICHAEL BOWLES teaches machine learning at Hacker Dojo in Silicon Valley, consults on machine learning projects, and is involved in a number of startups in such areas as bioinformatics and high-frequency trading. Following an assistant professorship at MIT, Michael went on to found and run two Silicon Valley startups, both of which went public. His courses at Hacker Dojo are nearly always sold out and receive great feedback from participants.)

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151
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2018-05-08发布

2. ChatServer

  实现了多人聊天,采用了tornado,SQLAlchemy框架(To achieve multiplayer chat, the tornado, SQLAlchemy framework is adopted.)

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121
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2018-05-03发布

3. 正则化

  深度网络中防至过拟合的情况,可以使用正则化,这里将实现L2正则化(In case of overfitting in deep network, regularization can be used, and L2 regularization is implemented here.)

5
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55
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2018-05-03发布

4. 统计自然语言处理-刘挺

  机器学习实战,主要关于推荐系统,聚类分析,使用语言为python(maching learning in action)

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59
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2018-04-26发布

5. ASTAR

  路径规划A*算法的python实现,带有详尽注释(Path planning A* algorithm Python implementation, with detailed notes)

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66
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2018-04-25发布

6. 入门十大Python机器学习算法(附代码)

  介绍机器学术十大算法,并且附python实现代码(The ten major algorithms of machine learning are introduced, and the python implementation code is attached.)

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91
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2018-04-25发布

7. 简单爬虫文件夹

  一个简单的爬虫程序。1、 打开百度网页 2、将网页HTML转化成utf-8格式存入文件 baidu.txt 3、获取网页中的所有a标签对象 ,将对象指向的链接地址抓取出来(A simple crawler program. 1. Open the Baidu web page 2, convert the web page HTML into UTF-8 format and store the file baidu.txt 3. Get all the a tag objects in the web page and grab the linked addresses of the objects.)

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157
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2018-04-22发布

8. Black Hat Python

  本书由 Immunity 公司的高级安全研究员 Justin Seitz 精心撰写。作者根据自己在安全界,特别是渗透测试领域的几十年经验,向读者介绍了 Python 如何被用在黑客和渗透测试的各个领域,从基本的网络扫描到数据包捕获,从 Web 爬虫到编写 Burp 扩展工具,从编写木马到权限提升等。(The book is written by Justin Seitz, a senior security researcher at Immunity company. Based on his decades of experience in the security community, especially in the field of penetration testing, the author introduces how Python is used in various fields of hacker and penetration testing, from basic network scanning to packet capture, from Web crawler to Burp extension tool, from writing Trojan to privilege escalation, and so on.)

7
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164
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2018-04-06发布

9. python+人工智能培训视频

  这是一个关于人工智能的学习 这是一个关于人工智能的学习(This is a study of artificial intelligence This is a study of artificial intelligence)

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68
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2018-04-05发布

10. jieba-jieba3k

  MATLAB 结巴分词的工具包,用于很多中文分词的模式识别代码程序,利用已有函数工具包提高工作效率,内有安装说明(MATLAB jieba toolkit, used for many Chinese word segmentation pattern recognition code programs, using existing function toolkits to improve work efficiency, with installation instructions)

7
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50
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2018-04-02发布

11. cnn图像分类

  基于Tensorflow下的cnn卷积神经网络实现图像的分类(Image classification CNN convolutional neural network based on Tensorflow)

70
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138
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2018-03-28发布

12. 双向最大匹配.py

  用双向最大匹配算法实现汉语分词。准确率颇高。(Two way maximum matching algorithm is used to realize Chinese word segmentation. The rate of accuracy is quite high.)

8
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103
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2018-03-26发布

13. 40节点预测

  利用人工智能RNN进行数据预测分析,效果还可以(Using artificial intelligence RNN to carry out data prediction and analysis, the effect is also possible.)

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170
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2018-03-25发布

14. 代码

  主要实现了使用神经网络实现(7,4)自编码器(Using neural network implementation (7,4) autoencoder)

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69
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2018-03-22发布

15. ptyhon文件

  爬取百度贴吧图片,可以帮助你了解爬虫的相关功能模块等(Crawl Baidu Post Bar picture)

2
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133
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2018-03-19发布

17. NiftyNet-dev

  医疗3d处理,即基于卷积神经网络的医疗影像分析平台(NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis)

10
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46
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2018-02-26发布

18. 机器学习实战

  机器学习的算法,主要使用python语言,Numpy库,进行算法分析。(Algorithm for machine learning)

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50
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2018-02-02发布

19. test1

  SVM-无监督机器学习领域的经典算法,在神经网络未出现前,他是机器学习的顶梁柱,现在依然用处广泛,而且其核函数的使用范围早已超脱其本身,该实例对SVM算法进行了实现,具有相应的数据集。(SVM - Unsupervised machine learning in the field of classical algorithms, before the neural network does not appear, he is the mainstay of machine learning, is still still widely used, and the use of its kernel function has long been out of its own, the example of the SVM algorithm was implemented , With the corresponding data set.)

4
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52
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2018-02-01发布

20. MLInActionCode-master

  机器学习实战的源代码集合,第一部分主要介绍机器学习基础,以及如何利用算法进行分类,并逐步介绍了多种经典的监督学习算法,如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树(CART)算法等。第三部分则重点介绍无监督学习及其一些主要算法:k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具(Machine learning combat source code collection)

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71
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2018-01-22发布