Skip to content

duemunk/swix

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Swift Matrix and Machine Learning Library

Apple's Swift is a high level language that's asking for some numerical library to perform computation fast or at the very least easily. This is a bare-bones wrapper for that library.

A way to have iOS run high-level code similar to Python or Matlab is something I've been waiting for, and am incredibly excited to see the results. This will make porting complex signal processing algorithms to C much easier. Porting from Python/MATLAB to C was (and is) a pain in the butt, and this library aims to make the conversion between a Python/Matlab algorithm and a mobile app simple.

In most cases, this library calls Accelerate or OpenCV. If you want to speed up some function or add add another feature in those libraries, feel free to submit a pull request (preferred!) or contact me at @stsievert or sieve121@umn.edu. Oh, and if you use this project I'd love to hear about it.

Currently, this library gives you

  • operators and various functions (sin, etc) that operate on entire arrays
  • helper function (reshape, reverse, delete, repeat, etc)
  • easy initializers for 1D and 2D arrays
  • complex math (dot product, matrix inversion, eigenvalues, etc)
  • machine learning algorithms (SVM, kNN, SVD/PCA, more to come)
  • one dimensional Fourier transforms
  • speed optimization using Accelerate and OpenCV

When I was crafting this library, I primarily followed the footsteps and example set by NumPy. For the more complex mathematical functions (e.g., SVD) I tested it against NumPy. Matlab, at least for the SVD, returns slightly different output.

Additionally, I followed NumPy's syntax whenever possible. For example, NumPy and Matlab differ in their initializer called ones by ones((M,N)) and ones(M, N) respectively. If in doubt or getting weird compiler bugs, look at NumPy for Matlab users or the section on possible swix bugs that may pop up during the Install or other Bugs you may find.

Details on how to install can be found in Install. The swix documentation includes details on each individual function and possible bugs.

FAQ

Why does this library exist?

Not only should you be able to do simple math in arrays like in Surge, Swift makes it possible to call high level mathematical functions just like in Python/Matlab.

How does this library compare to Python/Matlab?

Complete speed results can be found in Speed

Third Party Frameworks/Libraries

...and I used some of SwiftAccelerate to avoid some BLAS/LAPACK agony.

To be integrated

About

Swift Matrix and Machine Learning Library

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 85.5%
  • C 9.7%
  • Swift 3.7%
  • Objective-C 0.5%
  • Objective-C++ 0.4%
  • Python 0.1%
  • Other 0.1%