Yin Cheang Ng's repositories
ANNOY_from_scratch
this is a project for C++ learning, please do not judge me!
BalancedSearchKDTree-kNN
Scapegoat KNN
Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；完册，最后打磨。纠错多的同学，有赠书感谢！
Book6_First-Course-in-Data-Science
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；2024年继续增补，并大修大改两轮。纠错多的同学，有赠书感谢！
Book7_Visualizations-for-Machine-Learning
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；2024年继续增补，并大修大改两轮。纠错多的同学，有赠书感谢！
Cplusplus-Concurrency-In-Practice
A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》
CPlusPlusThings
C++那些事
Cpp-Design-Patterns
C++设计模式
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
fun-rec
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
guofei9987.github.io
个人博客，欢迎fork
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
how-to-optim-algorithm-in-cuda
how to optimize some algorithm in cuda.
interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, e
key-book
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
ML_course
EPFL Machine Learning Course, Fall 2021
nlp-competitions-list-review
复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！
note-architect
架构师学习笔记仓库
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
PRESIDENT810
Personal profile repository
project-based-learning
Curated list of project-based tutorials
RSPapers
A Curated List of Must-read Papers on Recommender System.
shareOI
算法竞赛课件分享
SJTU-Notes
:pizza: Course Notes of Shanghai Jiao Tong University
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"