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pyKriging-master
说明: 关于代理模型的克里金模型包,其包含普通克里金和协克里金。(Kriging is an invaluable tool in understanding the behavior of sparse data. It has proven effective in many aspects of engineering and in applications where data is "expensive", or difficult, to collect.)
- 2020-02-18 17:09:24下载
- 积分:1
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目标检测定位算法源码
说明: 这个一个在目标检测中起定位作用的神经网络代码,不过这次我没有写使用教程,东西应该不难。(This is a neural network code that plays a role in target detection, but this time I did not write a tutorial, things should not be difficult.)
- 2020-10-08 14:48:59下载
- 积分:1
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ch05
说明: 人脑神经网络和计算机神经网络的不同在于,人脑可以解决通用性和跨领域的问题,而计算机神经网络只能解专门的问题,所以哪怕阿尔法狗在围棋界孤独求败战胜了所有男人,但他也不能识别出站在他面前的两个女生谁更漂亮(The difference between human brain neural network and computer neural network is that human brain can solve universal and cross domain problems, while computer neural network can only solve specialized problems. Therefore, even if alpha dog defeats all men alone in go, he can not identify the two girls standing in front of him who is more beautiful)
- 2020-08-06 22:40:51下载
- 积分:1
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code
对数据进行优化,分类,例如GMM分类方法,KNN分类,支持向量机分类。(Optimize data, classification, such as GMM classification method, KNN classification, support vector machine classification)
- 2020-06-23 15:20:01下载
- 积分:1
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LSTM
说明: 基于LSTM的时序预测,训练1000次后对未来价格进行预测(Time series prediction based on LSTM)
- 2020-08-30 16:08:10下载
- 积分:1
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fpgrowth
频繁项集挖掘算法FPGrowth用Python实现(Python implementation of frequent itemsets mining algorithm)
- 2017-10-28 20:11:20下载
- 积分:1
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人脸识别
人脸检测和识别,录入人脸数据,识别未知人脸是否为录入的(Face Detection and Recognition, Entering Face Data, Recognizing whether an Unknown Face is Input)
- 2020-06-22 11:20:02下载
- 积分:1
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django文件上传
在这篇文章中,Adrian Neumann 收集了一些从初级到高级逐级困难的练习题,适合刚开始学习编程的初学者。当有新的练习题时,Adrian 会及时添加。除了一些GUI问题外,练习题一般都是算法题,无需学习任何库就可以解决。课程练习题的困难程度有时候取决于你使用的编程语言。例如,关于列表List的练习题若用内部不支持List的C语言来解决的话会困难些。
即使有一定编程经验的人想要学习一门新语言的时候,虽然这对他们来说相对简单,但我认为这还是有用的。
- 2022-07-24 04:41:02下载
- 积分:1
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LFI Suite - Automatic LFI ExploiterScanner
LFI Suite - Automatic LFI ExploiterScanner
- 2018-06-24 20:52:05下载
- 积分:1
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python基于BBS类型网站的爬虫 适用于一般的bbs网站
- 2023-05-25 09:25:05下载
- 积分:1