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bcst_csapp

A C language repo to implement CSAPP

bitonic-sort

Bitonic Sort for C and CUDA

chatroom

从零开始实现一个聊天室客户端（用qt实现,在Windows和Linux环境下都行），和在Linux下实现服务器后台

codinginterviewsnotes

涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、 数据结构（排序、查找）、数据库、、C++对象模型、 设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等

competition-baseline

数据科学竞赛知识、代码、思路

computer-vision

demo

cppcoreguidelines

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

csapp

cuda_freshman

cv_interview

I hope this repo can help you a lot!

darknet

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

darknet-1

AlexeyAB-DarkNet源码解析

deep_sort_yolov3_pytorch

:punch: Add attention blocks such as cbam, se. Add deep sort, sort and some tracking algorithm using opencv 目标跟踪算法重实现

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

ensemble-learning

ensemblelearning

包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

hands-on-gemm

hashmap.c

Hash map implementation in C.

ics-pa-gitbook

keras-vgg16-places365

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

leetcode_practice

leetcode

linux_kernel_wiki

linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频

litter-detection-review

A list of useful resources in the trash classification and detection (mainly plastic), such as datasets, papers, links to open source projects

machine-learning-session

mit6.s081

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml-reading

A collection of interesting machine learning articles/tutorials/things found around the web.