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machine_learning_security

Source code about machine learning and security.

TutorialsML/AI fundamentalsPython
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创建于 2017-05-01 · 更新于 2026-10-06 · 今日第 8995 名
主要开发者

13o-bbr-bbq/machine_learning_security 排名第 8,995,有 2,095 个星标。

同类别比较

13o-bbr-bbq/machine_learning_security 排名第 8,995,此处有 8 个同类条目;GoogleCloudPlatform/ml-design-patterns 排名第 8,996。

同类别比较
名称排名指标
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简介:
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텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
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简介:
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语言:
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GoogleCloudPlatform/ml-design-patterns8,996
语言:
Jupyter Notebook
星标数:
2,094
分叉数:
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简介:
Source code accompanying O'Reilly book: Machine Learning Design Patterns
datawhalechina/statistical-learning-method-solutions-manual9,000
语言:
Jupyter Notebook
星标数:
2,092
分叉数:
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简介:
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epfml/ML_course9,006
语言:
Jupyter Notebook
星标数:
2,088
分叉数:
1,035
简介:
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delip/PyTorchNLPBook9,042
语言:
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星标数:
2,058
分叉数:
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简介:
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关键参数与规格
关键参数与规格
参数值
语言Python
类别Tutorials
子类别ML/AI fundamentals
关键词Research
星标数2,095
分叉数676
贡献者5
创建日期2017-05-01
更新日期2026-10-06
1 天星标数0
7 天星标数0
排名8,995
上次排名9,042
排名变化47
7 天星标排名12,146
上次 7 天星标排名12,207
7 天星标排名变化61
总星标排名6,114
上次总星标排名6,108
总星标排名变化-6
国家Japan
README 摘录

Machine Learning and Security Source codes about machine learning and security. Cyber security and Machine Learning course The elementary training course of Machine learning for security engineer. Vulnerabilities of Machine Learning Summary of Machine Learning vulnerability. Analytics Analyzing packet capture data using k-means. CNN_test Generate adversarial example against CNN. Deep Exploit Fully automatic penetration test tool using Machine Learning. Deep Exploit was presented at **Black Hat USA 2018 Arsenal** , **Black Hat EURO 2018 Arsenal** and **DEF CON 26

! GyoiThon Next generation penetration test tool. GyoiThon was presented at **Black Hat ASIA 2018 Arsenal** , **Black Hat ASIA 2019 Arsenal** and **DEF CON 26! DeepGenerator Fully automatically generate numerous injection codes for web application assessment using Genetic Algorithm and Generative Adversarial Networks. Recommender Recommend optimal injection code for detecting web app vulnerabilities. SAIVS (Spider Artificial Intelligence Vulnerability Scanner) SAIVS is an artificial intelligence to find vulnerabilities in Web applications. SAIVS was presented at **Black Hat ASIA 2016 Arsenal**. Contact us

Isao Takaesu takaesu235@gmail.

常见问题

记录了多少星标和分叉?

13o-bbr-bbq/machine_learning_security 有 2,095 个星标和 676 个分叉。

仓库排名是多少?

13o-bbr-bbq/machine_learning_security 排名第 8,995。

记录的语言和类别是什么?

13o-bbr-bbq/machine_learning_security 有 2,095 个星标,语言为 Python,类别为 Tutorials。

哪个仓库排名最接近?

13o-bbr-bbq/machine_learning_security 与 GoogleCloudPlatform/ml-design-patterns 比较,后者排名第 8,996,有 2,094 个星标。

README

Machine Learning and Security

Source codes about machine learning and security.

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Contact us

Isao Takaesu
takaesu235@gmail.com
https://twitter.com/bbr_bbq

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