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ebooks

A repository for collecting books， about C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, ML and DL

facialrecognitionwithlbph

Human beings perform face recognition automatically every day and practically with no effort. Although it sounds like a very simple task for us, it has proven to be a complex task for a computer, as it has many variables that can impair the accuracy of the methods, for example: illumination variation, low resolution, occlusion, amongst other. In computer science, face recognition is basically the task of recognizing a person based on its facial image. It has become very popular in the last two decades, mainly because of the new methods developed and the high quality of the current videos/cameras.

git-test

hit-oslab

S - 哈工大《操作系统》实验

ics2020

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

kendryte-standalone-sdk

Standalone SDK for kendryte K210

knn

KNN代码-kd树构建寻找最近邻

lcore

ucore with comments & logs

leetcode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

linux-0.01

compilable linux-0.01

linux-0.01-1

Linux 0.01源码及注释

linux-0.12

Linux0.12内核代码中文注释+在高版本GCC 5.4.0 + Ubuntu 16.04中编译成功并在Bochs正常测试运行

linux-0.12-1

《Linux内核完全剖析》linux0.12源码及实验环境

linux-2.4.0

Linux 2.4.0 source code reading notes

linux-2.6.11

《深入理解Linux内核》使用的内核版本

linux-3.13.0

linux kernel 3.13.0 研究学习 & 电子科技大学 李林 《Linux操作系统内核技术》课程PPT

linux-path

learn Linux kernel

linux-source-code-analyze

Linux源码分析

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

mit6.824

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

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。

ml2017fall_mlds

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mycs61c

nanoemu

A super tiny RISC-V emulator that is able to run xv6.

nemu

NJU EMUlator, a full system x86/mips32/riscv32 emulator for teaching

nemu-project