Swift AI is a high-performance AI and Machine Learning library written entirely in Swift. We currently support iOS and OS X, with support for more platforms coming soon!

Features

Swift AI includes a set of common tools used for machine learning and artificial intelligence research. These tools are designed to be flexible, powerful and suitable for a wide range of applications.

• Feed-Forward Neural Network
  • 3-layer network with options for customization.
  • Example projects for iOS and OS X.
• Recurrent Neural Network
• Convolutional Network
• GPU-Accelerated Networks
• Genetic Algorithms
• Fast Matrix Library
  • Matrix class with common operators
  • SIMD-accelerated operations
• Fourier Transform Functions

Usage and Examples

We've created example projects to demonstrate the usage and potential applications of Swift AI:

• iOS:
  • 2D function regression (feed-forward neural network)
  • Handwriting recognition (feed-forward neural network)
  • Evolution simultaion (genetic algorithm)
• OS X:
  • XOR logic gate modeling (feed-forward neural network)
  • 2D function regression (feed-forward neural network)
• Swift Playground:
  • Graphing - used in conjunction with OS X regression examples

Installation

Grab the files you need, drag them into your project. That was easy!

Why don't we use CocoaPods/Carthage?

Swift is open-source now, and it remains to be seen how these dependency managers will cooperate with other platforms.

A better alternative will probably be the Swift Package Manager.

Compatibility

Swift AI currently depends on Apple's Accelerate framework for vector/matrix calculations and digital signal processing.

In order to provide support for more platforms (Linux, Windows, etc.), alternative BLAS solutions are being considered. A vanilla Swift implementation is one possibility, but SIMD instructions will be preferred for their significant performance boost. Check back for more updates on this soon.

Using Swift AI?

If you're using Swift AI in one of your own projects, let us know! We'll add a link to your profile/website/app right here on the front page.

Contributing

Contributions to the project are welcome. Please review the documentation before submitting a pull request, and strive to maintain consistency with the structure and formatting of existing code. Official guidelines with more details will be provided soon.

Care Enough to Donate?

Take a little, give a little. I don't usually like handouts, but time is a big constraint. More donations = less contract work = more time building great open-source projects!

What good will my money do?

Your donation will help a college student get through school, and give you a warm, fuzzy feeling. Every contribution is appreciated.