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assignments

Assignments in WHU

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

blas-on-flash

Linear algebra subroutines for large SSD-resident dense and sparse matrices

boinc

Open-source software for volunteer computing and grid computing.

category-inference-using-citation-network

Course Project, Experiment on CORA dataset

cjsonobject

Ultralightweight JSON parser in C++ based on cJSON

computer-networks

🕸 📻 📡 | Computer Networks Course CEIT@AUT

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cppcoro

A library of C++ coroutine abstractions for the coroutines TS

cppwinrt

C++/WinRT is a standard C++ language projection for the Windows Runtime.

cudnn-memo

Example code of cuDNN.

cuml

cuML [alpha] - RAPIDS Machine Learning Library

cvtk

CVTK, a computer vision toolkit

docker-provider

Docker Monitoring Agent for OMI Server

docz

✍🏻It has never been so easy to document your things!

drawing

图形学大作业

exercises_answers

计算机网络：自顶向下方法 （原书第七版）陈鸣译 课后习题参考答案（中文版+英文版）；计算机系统基础（第2版）袁春风 课后习题参考答案；操作系统教程（第5版）费翔林 课后习题参考答案；数据结构（用C++描述）殷人昆）课后习题参考答案；算法设计与分析 黄宇 课后习题参考答案；

face-recognition

FACE RECOGNITION ---------------- The Yale Face Database contains 165 grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right-light, sad, sleepy, surprised, and wink. Your tasks are the following: 1. I have divided image into small blocks and extracted local binary patterns (LBP) from each block. Concatenated all LBP histograms to make a feature vector of an image. 2. Another feature vector is created out of gray levels of integral image. 3. Finally gray levels of image have been used as the last feature vector. 4. After Concatenating all feature vectors. I have Taken four images of each person for testing and the rest as training examples. 5. Using PCA to classify image for one-verses all classification scheme, i have shown results for few images that are selected randomly and reported the accuracy for all testing images using individual feature sets (gray level, integral, and LBP separately) and also for concatenated feature sets.

face_recognition

The world's simplest facial recognition api for Python and the command line

flex

The Fast Lexical Analyzer - scanner generator for lexing in C and C++

fluent-xaml-theme-editor

The Fluent Design XAML theme editor.

glog

C++ implementation of the Google logging module

gnnpapers

Must-read papers on graph neural networks (GNN)

habitlab

Build better habits online! Tell HabitLab your goals, and it will determine the appropriate interventions via experimentation.

haroopad

Haroopad - The Next Document processor based on Markdown

heimer

Heimer is a simple cross-platform mind map and note-taking tool written in Qt.

hello-github-actions

hypergraph_stock

stock share analysis using hypergraph modeling method

hypernetwork