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DFDOC
system of pv control for basic with error
- 2013-11-23 18:55:07下载
- 积分：1
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tsne_python
说明： T-SNE高维数据降维特征提取，用于python3(T-SNE demensinal,python)
- 2021-01-27 21:48:41下载
- 积分：1
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sort_0.7
Sorting m3u files, for iptv
- 2019-05-13 16:25:45下载
- 积分：1
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JuFeng001src
飓风001源码，cs1.6时代著名的暴力作弊器源码(Source code for JuFeng 001，a famous BaoLi hack src in cs1.6)
- 2015-01-02 19:25:30下载
- 积分：1
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textCNN文本分类
textCNN文本分类
- 2021-05-06下载
- 积分：1
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models
说明： 包含unet/google-v2/CNN等多种神经网络的模型(Multiple Neural Network Models)
- 2019-05-14 20:34:08下载
- 积分：1
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w3_generalization
machine learning 方面有关于Generalization and Bayesian Introduction的资料，语言是python(machine learning aspects of information concerning Generalization and Bayesian Introduction, language is python)
- 2013-12-07 23:11:31下载
- 积分：1
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GA
说明： 遗传算法工具箱，python包，值得推荐！(ga for python,Genetic algorithm toolkit, python package, recommended!)
- 2020-02-18 16:45:48下载
- 积分：1
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patternclassification
说明： 使用pegasos算法进行minsit数据集分类(As mentioned above, Pegasos performs stochastic gradient descent on the primal objective Eq. (1) with a carefully chosen stepsize. We describe in this section the core of the Pegasos procedure in detail and provide pseudo-code. We also present a few variants of the basic algorithm and discuss few implementation issues.)
- 2020-12-19 20:19:09下载
- 积分：1
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lena
说明： SLIC算法是simple linear iterative cluster的简称，该算法用来生成超像素（superpixel）
算法步骤：
已知一副图像大小M*N,可以从RGB空间转换为LAB空间，LAB颜色空间表现的颜色更全面
假如预定义参数K，K为预生成的超像素数量，即预计将M*N大小的图像(像素数目即为M*N)分隔为K个超像素块，每个超像素块范围大小包含[（M*N）/K]个像素
假设每个超像素区域长和宽都均匀分布的话，那么每个超像素块的长和宽均可定义为S，S=sqrt(M*N/K)
遍历操作，将每个像素块的中心点的坐标(x,y)及其lab的值保存起来，加入到事先定义好的集合中(Algorithmic steps:
Given the size of an image M*N, it can be converted from RGB space to LAB space, and the color space of LAB is more comprehensive.
If the predefined parameter K, K is the number of pre-generated super-pixels, i.e., the image of M*N size (the number of pixels is M*N) is expected to be divided into K super-pixel blocks, each of which contains [(M*N)/K] pixels.
Assuming that the length and width of each super-pixel region are evenly distributed, the length and width of each super-pixel block can be defined as S, S = sqrt (M*N/K).
The traversal operation saves the coordinates (x, y) and lab values of the central points of each pixel block and adds them to a pre-defined set.)
- 2019-06-10 14:48:52下载
- 积分：1
