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  1. 编程语言:Python
  2. 代码类别:其他
  3. 发布时间:不限
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1. 定位小程序

说明:  主要基于微信小程序获取RSSI信号,然后发送至后台进行算法解析,后台再将解析出来的信息发送到前端(The RSSI signal is obtained mainly based on the WeChat applet, and then sent to the background for algorithm analysis, and the parsed information is sent to the front end in the background.)

7
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102
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2020-06-16发布

2. gcn_metric_learning-master

  pcv,计算机视觉图像分割,用于图像处理等教程,python(Pcv, computer vision image segmentation, for image processing and other tutorials)

0
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108
浏览
2020-06-16发布

3. gcn_metric_learning-master

说明:  pcv,计算机视觉图像分割,用于图像处理等教程,python(Pcv, computer vision image segmentation, for image processing and other tutorials)

3
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101
浏览
2020-06-16发布

4. few-shot-gnn-master

  通过few_shot少量监督信息来训练图神经网络,达到分类的效果(Training Graph Neural Network for Classification)

0
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96
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2020-06-16发布

5. few-shot-gnn-master

说明:  通过few_shot少量监督信息来训练图神经网络,达到分类的效果(Training Graph Neural Network for Classification)

8
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140
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2020-06-16发布

6. SGCN-master

  利用现有的网络结构信息来训练神经网络,从而得到网络嵌入结果。(The existing network structure information is used to train the neural network, and the result of network embedding is obtained.)

0
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165
浏览
2020-06-15发布

7. SGCN-master

说明:  利用现有的网络结构信息来训练神经网络,从而得到网络嵌入结果。(The existing network structure information is used to train the neural network, and the result of network embedding is obtained.)

1
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85
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2020-06-15发布

8. pygcn-master

  图卷积神经网络,图神经网络的一种,通过提取特征来训练神经网络,实现网络嵌入(Graph Convolution Neural Network, a kind of Graph Neural Network, trains the Neural Network by extracting features to realize network embedding.)

0
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134
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2020-06-15发布

9. pygcn-master

说明:  图卷积神经网络,图神经网络的一种,通过提取特征来训练神经网络,实现网络嵌入(Graph Convolution Neural Network, a kind of Graph Neural Network, trains the Neural Network by extracting features to realize network embedding.)

9
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87
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2020-06-15发布

10. 卷积神经网络

  利用Python实现卷积神经网络,适合初学者借鉴,参考。(Using Python to realize convolution neural network is suitable for beginners to learn and refer to.)

0
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115
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2020-06-15发布

11. 卷积神经网络

说明:  利用Python实现卷积神经网络,适合初学者借鉴,参考。(Using Python to realize convolution neural network is suitable for beginners to learn and refer to.)

1
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81
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2020-06-15发布

12. Code

  这个文件中写了对于一个德国医药品牌在中国销售额基于时间的预测,运用了机器学习算法。(This document describes a time-based forecast of sales of a German pharmaceutical brand in China, using machine learning algorithms.)

0
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102
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2020-06-15发布

13. Code

说明:  这个文件中写了对于一个德国医药品牌在中国销售额基于时间的预测,运用了机器学习算法。(This document describes a time-based forecast of sales of a German pharmaceutical brand in China, using machine learning algorithms.)

2
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90
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2020-06-15发布

14. online_fengci

说明:  对现存的主流分词方法进行了分析和比较,对前人的成果和经验进行了研究和改进,设计实现了一个基于词典和统计方法的在线中文分词系统。本文系统使用了基于一种主流分词方法的经典算法,双向最大匹配法。这种方法能够将正向最大匹配法得到的分词结果和逆向最大匹配法得到的结果进行比较,从而决定正确的分词方法。这类算法的优点是速度快,时间复杂度为O(n),实现简单。本系统为用户提供了一个中文分词的在线平台,有文本分词,输入分词内容,实时显示分词结果等功能可供使用,本系统在切词准确度和速度上的表现较为良好,基本完成了中文分词的工作,提供了较好的用户体验。本文系统的创新点在于,将python语言作为开发语言,并选择了较为热门的web框架Flask作为开发在线系统的框架,实现了一个在线中文分词系统。目的是方便用户进行分词,并实时观测结果。(This paper analyzes and compares the existing mainstream word segmentation methods, studies and improves the previous achievements and experiences, and designs and implements an online Chinese word segmentation system based on dictionary and statistical methods. In this paper, a classical algorithm based on a mainstream word segmentation method, bi-directional maximum matching method, is used. This method can compare the result of forward maximum matching method with that of reverse maximum matching method, so as to determine the correct segmentation method. This kind of algorithm has the advantages of high speed, O (n) time complexity and simple implementation.)

2
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122
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2020-06-11发布

15. excel

说明:  使用python读取与写入excel文件代码示例(Reading excel file with Python)

1
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97
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2020-06-11发布

16. 图形用户界面和游戏开发

说明:  python图形界面tkinter等的详细介绍和案例演练,教你用pygame库开发属于你的小游戏(Python graphical interface Tkinter and other detailed introduction and case drill, teach you to use pyGame library to develop your own games)

0
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239
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2020-06-10发布

17. loss_rmse

说明:  18个项目,通过前9天的数据,预测第10天PM2.5的含量,采用线性回归,损失函数为均方根误差(Through the data of the first nine days, the PM2.5 content of the 10th day was predicted for 18 projects, and linear regression was adopted, and the loss function was root mean square error.)

1
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94
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2020-06-10发布

18. LSTM_predict

说明:  用传统循环神经网络的变种LSTM进行某城市二氧化碳排放量的时间序列的预测(Using a variant of traditional recurrent neural network LSTM to predict the time series of carbon dioxide emissions in a city)

4
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150
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2020-06-09发布

19. e

说明:  基于python的俄罗斯方块小游戏,有详细的代码解释,是用pyqt写的。(A little game of Tetris based on Python,There is a detailed code explanation, which is written in pyqt.)

1
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243
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2020-06-08发布

20. COVID-19-Scanner-master

说明:  用于新冠肺炎胸片扫描,来对新冠肺炎与普通肺炎进行区分(Used for chest scan of New Coronary Pneumonia to distinguish New Coronary Pneumonia from Common Pneumonia)

2
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87
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2020-06-07发布