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homebrew-versions

:skull: Homebrew/versions (deprecated)

homebrew-x11

:skull: Homebrew/x11 (deprecated)

homebrew-xorg

:heavy_multiplication_x: :penguin: X.Org implementation of the X Window System

homebrew.github.io

:bookmark: The Homebrew brew.sh page.

houdini-samples

Demos for different Houdini APIs

howto-components

Literate code examples for common UI patterns.

http2-push-manifest

Generate a list of static resources for http2 push.

http2push-gae

Drop-in HTTP2 push on App Engine

httplib2

The former official repository for httplib2. Now see https://github.com/httplib2.

i18n-activity

Home pages, charters, style-guides, and similar documents related to the W3C Internationalization Activity.

imagecapture-polyfill

MediaStream ImageCapture polyfill. Take photos from the browser as easy as .takePhoto().then(processPhoto)

immutable-js

Immutable persistent data collections for Javascript which increase efficiency and simplicity.

inert-polyfill

Polyfill for the HTML inert attribute

install

:inbox_tray: Linuxbrew (un)installer

isserviceworkerready

Tracking the status of ServiceWorker in browsers

it-cpe

Facebook's IT - Client Platform Engineering tools. Some of the tools we have written to help manage our fleet of client systems.

jcgregorio

Miscellaneous bits of code too small to keep in their own repository.

jcommon

concurrency, collections, zookeeper, stats/analytics, config, testing, etc

jest

🃏 Delightful JavaScript Testing.

jlreq

Text Layout Requirements for Japanese

js

jscodeshift

A JavaScript codemod toolkit.

jscost.org

JSCost.org - a JavaScript cost visualizer 💸

jsvu

JavaScript (engine) Version Updater

jsx

The JSX specification is a XML-like syntax extension to ECMAScript.

kubernetes.github.io

Kubernetes website and documentation repo:

kvocontroller

Simple, modern, thread-safe key-value observing for iOS and OS X.

learngitbranching

An interactive git visualization to challenge and educate!

learningsimplealgorithms

We present an approach for learning simple algorithms such as copying, multi-digit addition and single digit multiplication directly from examples. Our framework consists of a set of interfaces, accessed by a controller. Typical interfaces are 1-D tapes or 2-D grids that hold the input and output data. For the controller, we explore a range of neural network-based models which vary in their ability to abstract the underlying algorithm from training instances and generalize to test examples with many thousands of digits. The controller is trained using Q-learning with several enhancements and we show that the bottleneck is in the capabilities of the controller rather than in the search incurred by Q-learning.

legacy-homebrew

:skull: The former home of Homebrew/homebrew (deprecated)