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PyQt5快速开发与实战所有程序
《PyQt5快速开发与实战》所有章节的例程(Routines for all chapters of PyQt5 Rapid Development and Practice)
- 2020-06-21 07:40:01下载
- 积分：1
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lsb
说明： LSB替换隐写软件，该软件能把ASCII码嵌入到图像中，其载体图像是24位的BMP格式图像(LSB replaces steganography software, which can embed ASCII code into image, and its carrier image is 24 bit BMP format image)
- 2021-04-26 20:08:45下载
- 积分：1
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有效检测烟雾，识别率高，机器学习cnn_evaluation_smoke-master
说明： 此代码简单易学，能有效检测烟雾，识别率高，机器学习。(This code is easy to learn, can effectively detect smoke, high recognition rate, machine learning.)
- 2020-07-07 23:08:56下载
- 积分：1
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RecommendSystemPractice-master
说明： 《推荐系统实践》作者：项亮；
书籍全部章节配套源代码；
仅供学习分享，如有侵权立刻删除。(Author of Recommendation System Practice: Xiang Liang;
All chapters of the book are accompanied by source code.
For learning and sharing only. If there is any infringement, delete it immediately.)
- 2020-07-03 13:40:02下载
- 积分：1
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laplacian
说明： Calculate the Laplacian of an image, can be accelerated by the GPU.
- 2020-06-21 11:00:02下载
- 积分：1
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Python基于Django图书管理系统源码(含数据库脚本)
完整版Python-Django项目，调试通过，直接下载即可运行包括：登陆、注册、浏览、搜索、发布资源、评论等多个功能。可作为新手练习，课程设计，毕业设计，代码注释详细，便于理解。
- 2019-11-10下载
- 积分：1
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深度学习
说明： python 关于深度学习以及Imageai的一些资料(Python deep learning and other file about the Imageai)
- 2020-06-16 12:28:32下载
- 积分：1
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DBScan-master
说明： 这是使用Python实现的DBScan。像Numpy、熊猫这样的图书馆也被使用过。DBScan算法已经在两个变色龙数据集t4.8k和t5.8k上进行了测试。然后利用matplotlib将得到的结果可视化。为了便于比较，本文将所得到的输出结果与DBScan实现的skLearning库的结果进行了比较。计算每个数据集的同质性和分离度，以观察簇间的相似性和不同的度量。epsilon和min值分别为8.5和16.5。(This is a DBScan implemented using Python. Libraries like Numpy and Panda have also been used. DBScan algorithm has been tested on two chameleon datasets t4.8k and t5.8k. Then the results are visualized by matplotlib. In order to facilitate comparison, the output results are compared with those of skLearning library implemented by DBScan. The homogeneity and segregation of each data set are calculated to observe the similarity and different measures between clusters. Epsilon and min were 8.5 and 16.5 respectively.)
- 2019-06-13 18:33:28下载
- 积分：1
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data
变量处理.基于美国政府的数据，对变量处理可以借鉴一下(variable handle ,the data is from the USA government,if you wang to handle the data,you can take an example.)
- 2018-05-23 18:37:05下载
- 积分：1
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逻辑回归
说明： 根据标签，完成SVM下的多分类数据识别，数据可以是字符或者信号，可以达到较高的识别精度(The multi-classification data recognition under SVM was completed)
- 2020-04-03 09:48:07下载
- 积分：1
