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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

2020

2020 😀😁😀😁😀 秋招笔试面试合集，以及2019届公司真题模拟题集 & 附上自己的后端指南，💻🎓包括（C/C++基础、数据结构、算法、操作系统💻、计算机网络、MySQL、shell（ps：sed、awk、grep））

202x-interview

accesscontrolmodelsdemo

Biba and Bella La Padula access control models work demonstration

anomaly-reactionrl

Using RL for anomaly detection in NSL-KDD

architect-awesome

后端架构师技术图谱

awesome-5g

Awesome lists about 5G projects.

awesome-malware-analysis

Defund the Police.

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

backdoor

Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.

books

【编程随想】收藏的电子书清单（多个学科，含下载链接）

chaos

:fire: CHAOS is a PoC that allow generate payloads and control remote operating systems.

cloudfirewall

A simple SDN based firewall

coreutils-cpp

A modern C++ redo of the GNU coreutils programs

cppguide

C/C++学习，后端开发进阶指南。

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

grassmudtrojan

病毒课作业，一个简单的木马程序：草泥木马。

hackertools

使用MFC编写的病毒技术合集

ids-cnn

使用卷积神经网络进行网络入侵检测，正确率可达99.5%

ids-engine

learning-sdn

SDN 學習及實作範例。

leetcode-master

LeetCode 刷题攻略：配思维导图，各个类型的经典题目刷题顺序、经典算法模板，以及详细图解和视频题解。这里精选的题目都不是孤立的，而是由浅入深一脉相承的，相信只要按照刷题攻略上的顺序来学习，一定会有所收获！给个star支持一下吧！

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！