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A curated list of automated machine learning papers, articles, tutorials, slides and projects
A collection of awesome penetration testing resources, tools and other shiny things
TensorFlow code and pre-trained models for BERT
Efficient and Conservative Fluids Using Bidirectional Mapping
Calculus with Python -- A Tiny Little Book
Generator Bootcamp Material: Learn Chisel the Right Way
GitHub Learning Lab
IEEE paper template for pandoc
A Node.js style checker and lint tool for Markdown/CommonMark files.
mybook
Check out the example at http://claymcleod.github.io/pandoc-academic-publication/examples/smart-objects-ieee/paper.html
Dockerfiles for various pandoc images
Penetration Testing with Shellcode, published by Packt
poliastro - :rocket: Astrodynamics in Python
Python Data Science Handbook: full text in Jupyter Notebooks
thomas li blog
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.