martindale Goto Github PK
Name: Eric Martindale
Type: User
Company: @FabricLabs
Bio: Code as craft! I like distributed systems and the human-friendly web. Formerly @blockstream, @bitpay, @coursefork...
Twitter: martindale
Location: [fc00::/8]
Eric Martindale's Projects
plasma
earn interest for providing liquidity
playback
Video player build using atom-shell and node.js
plink
Simple peer-to-peer networking with browsers
plugapi
A generic API for creating Plug.dj bots
plugbot
roboJar for plug.dj
plyr
A simple HTML5 media player
poclbm
PyOpenCL bitcoin miner
poemy2
poemy (a poetry generator) rewritten in C++
pokedex.org
Offline-capable Pokédex web site
polar
One-click Bitcoin Lightning networks for local app development & testing
pole
Poll for async resources with an evented interface
policies
Privacy policy, code of conduct, license, and other npm legal stuff
polymer-semantic-ui
[WIP] Native Polymer elements for Semantic UI
polymer-starter-kit
A starting point for Polymer 1.0 apps
pond
Pond
popcorn-app
An experiment using the peerflix module of nodejs and connecting a bunch of APIs.
portal-beta
Secure and fast crypto trading without exchange risk
portal-feed
digital asset pricing
portalsmash
Utility to connect to open WiFi and click through "captive portal"-type agreements.
postal
📨 A fully featured open source mail delivery platform for incoming & outgoing e-mail
postmark-php
Postmark PHP class
pouchdb
PouchDB is a pocket-sized database.
powerline-shell
A beautiful and useful prompt for your shell
pqr
pqR - a "pretty quick" version of R
presentations
Repository of the presentations I've made for public consumption! All hosted and viewable online.
preston
Piece-of-cake REST on Node. Serves Mongoose models on an extensible RESTful API.
pretty-diff
colorized HTML diffs
primer
The base coat of GitHub. Our internal CSS toolkit and guidelines.
private-box
private message between two parties (with no `to` field)
probabilistic-programming-and-bayesian-methods-for-hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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