Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
Beijing-House
面向北京码农同胞的从0开始的买房踩盘实录，目标只有一个: 每一分钱都花的明白(持续补充和完善ing…)
beijing_house_knowledge
北京买房攻略
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，近30万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
dpdk_doc
dpdk中文资料及会议文档ppt
IDSGAN
Micro8
network-threats-taxonomy
Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies "A Taxonomy and Survey of Intrusion Detection System Design Techniques, Network Threats and Datasets” and “A Taxonomy of Malicious Traffic for Intrusion Detection Systems”, classifying threats as well as evaluating current datasets. The result shows that a large portion of current research published train IDS algorithms against outdated datasets and outdated threats. To this end, we provide the source of our threat taxonomy, allowing other researchers to contribute and modify it.
Security-Data-Analysis
A series of labs that will help users apply various data science techniques to security related data.
xiaoqingsai's Repositories
xiaoqingsai/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
xiaoqingsai/awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
xiaoqingsai/Beijing-House
面向北京码农同胞的从0开始的买房踩盘实录，目标只有一个: 每一分钱都花的明白(持续补充和完善ing…)
xiaoqingsai/beijing_house_knowledge
北京买房攻略
xiaoqingsai/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，近30万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
xiaoqingsai/dpdk_doc
dpdk中文资料及会议文档ppt
xiaoqingsai/IDSGAN
xiaoqingsai/Micro8
xiaoqingsai/network-threats-taxonomy
Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies "A Taxonomy and Survey of Intrusion Detection System Design Techniques, Network Threats and Datasets” and “A Taxonomy of Malicious Traffic for Intrusion Detection Systems”, classifying threats as well as evaluating current datasets. The result shows that a large portion of current research published train IDS algorithms against outdated datasets and outdated threats. To this end, we provide the source of our threat taxonomy, allowing other researchers to contribute and modify it.
xiaoqingsai/Security-Data-Analysis
A series of labs that will help users apply various data science techniques to security related data.
xiaoqingsai/USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
xiaoqingsai/xiaoqingsai.github.io