Torch7 for iOS.
Torch7 provides a Matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to an easy and fast scripting language (Lua) and a underlying C implementation.
This package has been modified (or just hacked) to fully compile Torch7 for iOS (iPad/iPhone) for all architectures (armv7, armv7a, arm64, i386 (simulator), x86_64 (simulator))
Torch7 needs to be installed prior to building the iOS version. 'torch' needs to be available in the user's path.
I recommend doing the easy install if you have not installed Torch7. http://torch.ch/docs/getting-started.html
Simply run: $ ./generateiosframework
This will build all torch's libraries as static libs, and export them in a single dir: framework/. The dir is ready to be included in an iOS project: it includes an example class to load Torch from within your Objective C project.
For examples full examples that utilize this class (Torch.m) please see the ios_examples/ folder. More examples to come soon.
When creating your Objective-C project simply import the class Torch.m/.h; include all the libs to the linker; add Torch.framework & Accelrate.framework and add all the Lua files as resources. define YOURFILE.lua and add it as a resource. Run YOURFILE.lua using the method defined in Torch.h/.m