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Name: Paulo Matos
Type: User
Company: Caltech
Bio: PhD student at the California Institute of Technology
Twitter: pmatos93
Location: Pasadena, CA
Name: Paulo Matos
Type: User
Company: Caltech
Bio: PhD student at the California Institute of Technology
Twitter: pmatos93
Location: Pasadena, CA
A curated list of awesome Deep Learning tutorials, projects and communities.
Cheat Sheets
This Github repository will contain a brief description and examples of the Google Map API
Tutorials and training material for the H2O Machine Learning Platform
A Stata template for running high frequency checks of incoming research data at Innovations for Poverty Action
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
A quick introduction to MySQL through Node.js
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Lecture notes for EC 607
Practice your pandas skills!
Config files for my GitHub profile.
Personal WebPage (Underconstruction)
Shared resources for Econ Research Assistants working in R
Template for creating your website with R markdown.
I have a suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. I share them here.
A small repository with very useful tools for spatial 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.