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winder's Projects

algorithms icon algorithms

Algorithms notes & LeetCode/Codewars solutions by Node.js, Swift and Haskell

background-subtraction-using-gmm icon background-subtraction-using-gmm

This project is the C++ implementation of Background Subtraction using adaptive GMM models as discussed by Zoran Zivkovic in his paper "Improved Adaptive Gaussian Mixture Model for Background Subtraction".

backgroundsplit-opencv icon backgroundsplit-opencv

This repository is the C++ Source Code of several algorithms of Extracting Background, which are based on OpenCV libraries after I learn about the theory of these algorithms(including Frame-Difference, Gauss-Background-Difference, ViBe algorithms).

bgslibrary icon bgslibrary

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

bids icon bids

A Brief Introduction to Data Structures

bilibili_notes icon bilibili_notes

攻城狮之家B站课程课件合集,2号仓库地址https://github.com/JokerJohn/bilibli_notes2.git

bilibli_notes2 icon bilibli_notes2

攻城狮之家B站视频课程课件合集2,1号仓库https://github.com/JokerJohn/bilibili_notes.git

birthday icon birthday

:cake:改改数据,为心爱的人做一个超具创意的网页生日祝福吧~ (生日快乐) https://ajlovechina.github.io/birthday/

cgal icon cgal

The public CGAL repository, see the README below

cnn-svm icon cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

cnn-svm-classifier icon cnn-svm-classifier

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

code icon code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

coursera-ml-py icon coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

cs-book icon cs-book

计算机类常用电子书整理,并且附带下载链接,包括Java,Python,Linux,Go,C,C++,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等书籍

cs-books icon cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

cs-xmind-note icon cs-xmind-note

计算机专业课(408)思维导图和笔记:计算机组成原理(第五版 王爱英),数据结构(王道),计算机网络(第七版 谢希仁),操作系统(第四版 汤小丹)

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

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