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Name: R Vaughan
Type: User
Twitter: rich_vaughan
Location: UK
Name: R Vaughan
Type: User
Twitter: rich_vaughan
Location: UK
Automatically Preventing Code Injection Attacks on Node.js
Minimalist Win/OSX/Linux System Dashboard using Flask and Freeboard
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Helper scripts for TADPOLE Challenge 2017: http://tadpole.grand-challenge.org
Fast multi-core TCP and WebSockets load generator.
Repo with code and data for the analysis of new tech topics using Meetup data
A Python library for interfacing with the Ryze Tello Edu, including swarm and search behaviours.
Using TensorFlow Extended components to mix-and-match pipelines through evolutionary algorithms
Simple and ready-to-use tutorials for TensorFlow
AWS South Wales Meeting - Hands-on Workshop: Terraform on AWS
Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.
Tesseract Open Source OCR Engine (main repository)
16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.
The objective of this project is to scrape a corpus of news articles from a set of web pages, pre-process the corpus, and then to apply unsupervised clustering algorithms to explore and summarise the contents of the corpus. Part 1. Text Data Scraping This part of the project should be implemented as a Python script 1. Identify the URLs for all news articles listed on the website: http://mlg.ucd.ie/modules/COMP41680/news/index.html 2. Retrieve all web pages corresponding to these article URLs. 3. From the web pages, extract the main body text containing the content of each news article. Save the body of each article as plain text. Part 2. Corpus Exploration Tasks to be completed in your IPython notebook: 1. Load the text corpus generated in Part 1. Apply any appropriate pre-processing steps and construct a document-term matrix representation of the corpus. 2. Summarise the overall corpus by identifying the most characteristic terms and phrases in the corpus. 3. Apply two alternative clustering algorithms of your choice to the document-term matrix to produce clusters of related documents. This might require applying each algorithm several times with different parameter values. 4. For each clustering generated in Step 3, summarise the contents of the clusters. Based on your summary, suggest a topic/theme for each cluster.
Theano code for experiments in the paper "A Hybrid Convolutional Variational Autoencoder for Text Generation."
E-mails, subdomains and names Harvester - OSINT
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Keeping tabs on the UK's parliaments and assemblies
Personal compilation of APT malware from whitepaper releases, documents and own research
An informational repo about hunting for adversaries in your IT environment.
Extract and aggregate threat intelligence.
Official repo for the #tidytuesday project
Things I learned project.
Things I Learned database.
Collaborative forensic timeline analysis
The most complete open-source tool for Twitter intelligence analysis
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.