Pinned Repositories
BeaconOSX
Use a Bluetooth 4 enabled Mac running Mavericks as an iBeacon
cocoa-helpers
A collection of helpers (categories) we've written for iOS and OS X, full with convenience methods to make them easier and more useful. [tags:cocoa,objective-c,ios,mac]
geohash-java
Implementation of GeoHashes in java. We try to be/stay compliant to the spec, as far as possible.
Gmail-Cleaner
Random scripts to keep gmail clean.
gmail_xoauth
Get access to Gmail IMAP and STMP via OAuth, using the standard Ruby Net libraries
hector
a high level client for cassandra
hubot
A customizable life embetterment robot.
java-apns
Java Apple Push Notification Service Provider
peter78's Repositories
peter78/geohash-java
Implementation of GeoHashes in java. We try to be/stay compliant to the spec, as far as possible.
peter78/java-apns
Java Apple Push Notification Service Provider
peter78/linkedin
Ruby wrapper for the LinkedIn API
peter78/LinkedIn-iPhone
Simple framework to provide authentication and API support for LinkedIn on iPhoneOS devices.
peter78/scifihifi-iphone
Open source iPhone code
peter78/simplegeo-java-client
A Java HTTP client that accesses the SimpleGeo API
peter78/touchcode
Official Github mirror of touchcode
peter78/BeaconOSX
Use a Bluetooth 4 enabled Mac running Mavericks as an iBeacon
peter78/cocoa-helpers
A collection of helpers (categories) we've written for iOS and OS X, full with convenience methods to make them easier and more useful. [tags:cocoa,objective-c,ios,mac]
peter78/Gmail-Cleaner
Random scripts to keep gmail clean.
peter78/gmail_xoauth
Get access to Gmail IMAP and STMP via OAuth, using the standard Ruby Net libraries
peter78/hector
a high level client for cassandra
peter78/hubot
A customizable life embetterment robot.
peter78/ipOS-Notifier
Java library for sending push notifications to the iPhone OS over an SSL socket to Apple. Uses non-blocking I/O + customizable profiles for the default Sandbox and Production servers.
peter78/MarketVectors
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
peter78/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers