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Here is the GitHub Pages online documentation written by Team 5 for the spring 2016 rendition of 6.141: Robotics Science & Systems.
License Plate Detection and Recognition in Unconstrained Scenarios
Project with Arduino, Apple Remote, Canon EOS 5D Mark III, Step Motor
Development for baseball databank, an Open Data collection of historical baseball data
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
🍺 The missing package manager for macOS (or Linux)
Tools for obtaining Rosters and Stats for College Baseball
𓃡 CHAMP Quadruped Robot Controller
NCAA Baseball Analysis (All years 16-present)
Course Files for Complete Python 3 Bootcamp Course on Udemy
Tutorials for DataCamp (www.datacamp.com)
Fork of Dave Coffin's dcraw image processing app adding support Raspberry Pi cameras.
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
my raspiraw working fork for high framerate stuff (up to 750/1007 fps for v1/v2 camera)
Machine learning, computer vision, statistics and general scientific computing for .NET
NSA finest tool
A Ruby API for using the Major League Baseball Gameday statistics data. MLB provides very deep statistics for all major league baseball games through Gameday. Statistics include not only the typical boxscore stats, but also down to the physics of every single pitch thrown in the game. You can find the speed, movement, and position of every pitch thrown. The Gameday API makes it easy for Ruby developers to work with all this statistical information. The test directory included with the source code contains many examples of how the API can be used. If you prefer to use SVN, the gameday_api is also available via an SVN repository at: http://code.google.com/p/gamedayapi/ If you like this project, be sure to also check out the Baseball-Tracker project also hosted on GitHub. Baseball-Tracker is a web application that uses the gameday_api. You can find a hosted version of Baseball Tracker at http://baseballstatz.heroku.com
WebDriver for Firefox
Ghidra is a software reverse engineering (SRE) framework
Inatech stitcher
Jupyter metapackage for installation, docs and chat
KNIME Analytics Platform
Magenta: Music and Art Generation with Machine Intelligence
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.