在这个项目中，我们创建了一个系统，允许我们从诊断患者的数据库中预测心脏病患者。这是通过使用机器学习技术和应用PCA方法进行数据处理，并通过KNN算法准备收集的数据进行分类来实现的，这使得我们能够实现97.83%的准确率。
in this project we create a system that allows us to predict cardiac patients from a database of diagnosed patients. This was achieved by using machine learning techniques and applying the PCA method for data processing and preparing the collected data for classification by the KNN algorithm, which allowed us to achieve an accuracy of 97.83%. (2024-01-08, Python, 0KB, 下载0次)
Anminer S17+T17和Cheetah Miner F1 A1的zabbix模板。与矿工合作的脚本，
zabbix template for Anminer S17+ T17 and Cheetah Miner F1 A1. Scripts for working with miners, (2020-05-28, Shell, 0KB, 下载0次)
给定n个非负整数a1，a2。。。，an，其中每个表示坐标（i，ai）处的点。绘制n条垂直线，使得线i的两个端点位于（i，ai）和（i，0）。找到两条线，这两条线与x轴一起形成一个容器，使容器包含最多的水。
Given n non-negative integers a1, a2, ..., an , where each represents a point at coordinate (i, ai). n vertical lines are drawn such that the two endpoints of the line i is at (i, ai) and (i, 0). Find two lines, which, together with the x-axis forms a container, such that the container contains the most water. (2021-12-16, JavaScript, 0KB, 下载0次)
广泛的剩余网络实现。cifar10（97.12%）、cifar100（84.12%）和其他kaggle挑战的最佳结果
Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges (2017-01-13, Lua, 688KB, 下载0次)
云析学院HashMap面试讲解——云析学院,[http: yunxiedu.net,无双老师,QQ:3190976240,email:zhouguanya20@163.com](http: yunxiedu.net,%E6%97%A0%E5%8F%8C%E8%80%81%E5%B8%88,QQ:3190976240,email:zhouguanya20@163.com)
HashMap interview and explanation of Cloud Analysis College, [http: yunxiedu.net, peerless teacher, QQ: 3190976240, email: zhouguanya20@163.com ](http: yunxiedu.net,% E6% 97% A0% E5% 8F% 8C% E8% 80% 81% E5% B8% 88, QQ: 3190976240, email: zhouguanya20@163.com ） (2020-02-24, Java, 8KB, 下载0次)
recommend now (rec_now) 是一个推荐算法的基础库,目的在于简化推荐模型的开发。 本项目基于tensorflow2和python3实现,兼容使用tensorflow1.x API的[无量训练框架]([https: ...](https: git.woa.com deep_learning_framework NumerousTensorFlow\)%EF%BC%8C%E5%B9%B6%E5%9C%A8%E7%94%9F%E4%BA%A7%E7%8E%AF%E5%A2%83%E4%B8%AD%E5%BE%97%E5%88%B0%E4%BA%86%E5%85%85%E5%88%86%E9%AA%8C%E8%AF%81%E3%80%82)
Recommendation now (rec_now) is a basic library of recommendation algorithms aimed at simplifying the development of recommendation models. This project is implemented based on TensorFlow2 and Python 3, and is compatible with the TensorFlow1. x API s [Infinite Training Framework] ([https:...] (https: git.woa. com deep_learning_framework NumerousTensorFlow )% EF% BC% 8C% E5% B9% B6% E5% 9C% A8% E7% 94% 9F% E4% BA% A7% E7% 8E% AF% E5% A2% 83% E4% B8% AD% E5% BE% 97% E5% 88% B0% E4% BA% 86% E5% 85% 85% E5% 88% 86% E9% AA% 8C% E8% AF% 81% E3% 80% 82) (2023-06-03, Python, 83KB, 下载0次)
该demo更新到as3.5.3,gradle5.4.1,修复展示上传的标题栏,来源于一位开源的大佬的github库,[https: github.com githubBanana Ftp4jDemo,谢谢他的开源](https: github.com githubBanana Ftp4jDemo%EF%BC%8C%E8%B0%A2%E8%B0%A2%E4%BB%96%E7%9A%84%E5%BC%80%E6%BA%90)
The demo has been updated to as3.5.3 and gradle5.4.1, fixing the title bar of the display upload, sourced from an open-source giant s github library. [https: github. com github Banana Ftp4jDemo, thank you for his open-source] (https: github. com github Banana Ftp4jDemo% EF% BC% 8C% E8% B0% A2% E8% B0% A2% E4% BB% 96% E7% 9A% 84% E5% BC% 80% E6% BA% 90) (2020-03-12, Java, 173KB, 下载0次)
爬取古诗文网([https: so.gushiwen.org gushi tangshi.aspx)的网页信息](https: so.gushiwen.org gushi tangshi.aspx%EF%BC%89%E7%9A%84%E7%BD%91%E9%A1%B5%E4%BF%A1%E6%81%AF) ,将每首古诗按标题,朝代,作者,正文的列属性存储到数据库中。
Crawl the webpage information of the ancient poetry website (https: so. gushi wen. org gushi tangshi. aspx) (https: so. gushi wen. org gushi tangshi. aspx% EF% BC% 89% E7% 9A% 84% E7% BD% 91% E9% A1% B5% E4% BF% A1% E6% 81% AF), and store each ancient poem in the database according to its title, dynasty, author, and column attributes of the main text. (2022-07-06, Java, 12KB, 下载0次)
基于 聚合数据 驾照题库API 开发的一个简单的APP。拥有科一、科四,C2到A1题库,计分、错题训练等基本功能
A simple app developed based on aggregated data driver s license question library API. Possess basic functions such as subject 1 and subject 4, C2 to A1 question banks, scoring, error training, etc (2022-03-01, Java, 2785KB, 下载0次)
2019年大创项目和2019年新苗人才计划项目,针对翻拍的图片进行检测与识别,主要使用lbp算法,前期准确率在80.08%左右,后不断扩大优化图片数据库,准确率提升到97.4%结题。
The 2019 Da Chuang project and the 2019 New Miao Talent Plan project mainly used the lbp algorithm for detection and recognition of remastered images, with an initial accuracy rate of around 80.08%. Later, they continuously expanded and optimized the image database, and the accuracy rate improved to 97.4%. (2021-03-03, Jupyter Notebook, 162342KB, 下载0次)
[https: beuself.xyz post 数据结构 ](https: beuself.xyz post %E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84 )
[https: beiself.xyz post data structure] (https: beiself.xyz post% E6% 95% B0% E6% 8D% AE% E7% BB% 93% E6% 9E% 84) (2020-05-09, GO, 32KB, 下载0次)
高性能日志服务 它可以把一定时间段内的相同的多条日志信息归为单条的日志信息并加以计数,支持C S结构(tcp长链),以用户指定的存储形式(文件、数据库)存储。举例:30秒内A机器的a1程序报了100条重复日志信息,那么它的相应日志信息...
High performance logging service can classify multiple identical log information within a certain period of time into a single log information and count it. It supports the C S structure (TCP long chain) and stores it in a user specified storage format (file, database). For example, if the a1 program of machine A reports 100 duplicate log messages within 30 seconds, then its corresponding log information (2020-12-01, GO, 39KB, 下载0次)
采用js语言实现数据结构相关逻辑,具体链接(<http: www.liuyiqi.cn tags %E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95 page 2 >
采用js语言实现数据结构相关逻辑,具体链接(<http: www.liuyiqi.cn tags %E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95 page 2 > (2019-04-02, JavaScript, 4KB, 下载0次)
listview局部刷新。模拟下载进度,上下随意滑动,不会出现错乱现象。使用了项目[https: github.com nuptboyzhb ListViewPartRefreash,解决错乱问题,因不是一个开发工具,故单独创建](https: github.com nuptboyzhb ListViewPartRefreash%EF%BC%8C%E8%A7%A3%E5%86%B3%E9%94%99%E4%B9%B1%E9%97%AE%E9%A2%98%EF%BC%8C%E5%9B%A0%E4%B8%8D%E6%98%AF%E4%B8%80%E4%B8%AA%E5%BC%80%E5%8F%91%E5%B7%A5%E5%85%B7%EF%BC%8C%E6%95%85%E5%8D%95%E7%8B%AC%E5%88%9B%E5%BB%BA)
Partial refresh of listview. Simulate the download progress, slide up and down freely without any confusion. We used the project [https: github.com nuptboyzhb ListViewPartRefresh to solve the confusion issue, created separately as it is not a development tool] (https: github.com nuptboyzhb ListViewPartRefresh% EF% BC% 8C% E8% A7% A3% E5% 86% B3% E9% 94% 99% E4% B9% B1% E9% 97% AE% E9% A2% 98% EF% BC% 8C% E5% 9B% A0% E4% B8% 8D% E6% 98% AF% E4% B8% 80% E4% B8% AA% E5% BC% 80% E5% 8F% 91% E5% B7% A5% E5% 85% B7% EF% BC% 8C% E6% 95% 85% E5% 8D% 95% E7% 8B% AC% E5% 88% 9B% E5% BB% BA) (2017-10-28, Java, 1650KB, 下载0次)
leetcode,力扣([https: leetcode.cn )题目解法,从基础开始,避免生僻算法](https: leetcode.cn \)%E9%A2%98%E7%9B%AE%E8%A7%A3%E6%B3%95%EF%BC%8C%E4%BB%8E%E5%9F%BA%E7%A1%80%E5%BC%80%E5%A7%8B%EF%BC%8C%E9%81%BF%E5%85%8D%E7%94%9F%E5%83%BB%E7%AE%97%E6%B3%95)
Leetcode, Leetcode (https: Leetcode. cn) problem-solving, starting from the basics, avoiding obscure algorithms] (https: Leetcode. cn )% E9% A2% 98% E7% 9B% AE% E8% A7% A3% E6% B3% 95% EF% BC% 8C% E4% BB% 8E% E5% 9F% BA% E7% A1% 80% E5% BC% 80% E5% A7% 8B% EF% BC% 8C% E9% 81% BF% E5% 85% 8D% E7% 94% 9F% E5% 83% BB% E7% AE% 97% E6% B3% 95) (2023-05-11, GO, 139KB, 下载0次)
LeetCode，解决方案<http://www.calvinneo.com 2017 02 09 LeetCode%E8%A7%A3%E9%A2%98%E6%8A%A5%E5%91%8A>
LeetCode，解决方案<http://www.calvinneo.com 2017 02 09 LeetCode%E8%A7%A3%E9%A2%98%E6%8A%A5%E5%91%8A> (2020-11-06, Python, 397KB, 下载0次)