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Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Find domains and subdomains related to a given domain
:octocat: Machine Learning for Cyber Security
A curated list of Awesome Threat Intelligence resources
Bioinformatics with Python Cookbook Second Edition, published by Packt
A static analysis security vulnerability scanner for Ruby on Rails applications
A list of interesting payloads, tips and tricks for bug bounty hunters.
:tophat: The mighty NodeJS password vault
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
A collection of common regular expressions bundled with an easy to use interface.
Code and data for Cybersecurity Data Science on Udemy
Examples of linear regression, logistic regression, and deep learning implementations such as Transformers, gans, cnns, rnns, and more using Tensorflow. The code examples here are discussed in my books: Deep Learning Algorithms, and Getting Started with Deep Learning -->> Link.
Metasploit for machine learning.
Este projeto tem o objetivo de detectar Hate Speech e Offensive Language utilizando a biblioteca "hatesonar", além da aplicação de Análise Sentimentos em comentários extraídos de canais de streamers do jogo League of Legends da Twitch.tv. O repositório contém um dataset contendo 985766 comentários extraídos dos 5 primeiros vídeos de 10 streamers com grade número de seguidores, bem como os coméntários dos 5 primeiros vídeos de cada streamer separadamente. O repositório também disponibiliza um tutorial para utilização da API do Twitch.tv para extração de dados.
A security extension for devise, meeting industrial standard security demands for web applications.
In this project, I have cleaned, analyzed, visualized and classified news data using Logistic Regression.
Fake News Detection in Python
Machine learning driven web application firewall to detect malicious queries with high accuracy.
Use regular expressions to get sensitive information from a given repository (GitHub, pip or npm).
Hate Speech Detection Library for Python.
:honey_pot: Unobtrusive and flexible spam protection for Rails apps
Microsoft Threat Intelligence Security Tools
Code and data for the paper, "Automatically Neutralizing Subjective Bias in Text"
Detect Parkinsons using XGBoost and NN's (as seen on Medium!)
Advanced information gathering & OSINT framework for phone numbers
Search for PII in Python
Factor Analysis of Information Risk (FAIR) model written in Python.
A collection of python scripts that are used for network analysis and testing.
qsfuzz (Query String Fuzz) allows you to build your own rules to fuzz query strings and easily identify vulnerabilities.
A vulnerable version of Rails that follows the OWASP Top 10
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.