awesome-for-beginners-master

用excel2010表画直方图,文档里面有详细的说明步骤(Making Higtogram with excel 2010)

ftdi_sio source code

栈采用顺序栈存储，该算法是将表达式转换成后缀表达式输出。(Stack sequential memory stack, the algorithm is to convert the expression into a postfix expression output.)

利用socket通信程序实现异构环境下的数据通信-using socket communications program heterogeneous environments under the Data Communication

使用Visual C++，MFC类库绘制等值线(Visual C++, MFC class library to draw contour)

一个socket通信客户端-a socket communications client

This returns the number of iovecs needed to log the given inode item.

一个基本的点对点聊天室,先启动服务程序,然后启动客户端,-a basic peer-to-peer chat rooms, first launching the service procedures, then start the client,

好东西进入文件夹routersim2，运行SRSINSTA.EXE安装Routersim2.0。再把crack文件夹下的文件复制到安装目录下覆盖原文件，并运行shkccna2.exe。至此破解完成，2.0版已经可以使用，若要升级到2.1版，请将upto2.1目录内文件复制到安装目录下覆盖原文件，并再次运行shkccna2.exe。这样2.1版就可使用了。...能够管理图书馆的书目(good things into folders routersim2 running SRSINSTA.EXE Routersim2.0 installation. Then crack folder of documents copied to the installation directory coverage under the original document, and run the shkccna2.exe. Thus crack completed version 2.0 can use, in order to upgrade to version 2.1, I would be grateful if upto2.1 directory to copy the installation directory coverage under the original document, and once again running shkccna2.exe. This version 2.1 can be used. ... To manage the library programs.)

说明：  使用协同过滤的推荐系统测试代码Predicting movie ratings using collaborative filtering and latent concept extractors based on matrix decomposition methods like SVD and CUR on the movielens-100k dataset The project explores techniques for predicting unknown user ratings based on a large dataset of users and movie ratings.(Recommender-SystemsWe used 6 different recommender methods to predict user ratings across the data sets. Namely we set up Collaborative Filtering along with its baseline variant and Matrix decomposition techniques like Singular Value Decomposition and CUR. Moreover, we also implemented dimensionality reduction in these matrix decomposition techniques which preserved 90% of the energy so as to increase the computational efficiency while keeping the accuracy similar for these methods.)