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!
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
- [NSGA-II] (http://www.iitk.ac.in/kangal/Deb_NSGA-II.pdf)
- Fast Matrix Library
- Matrix class with common operators
- SIMD-accelerated operations
- Fourier Transform Functions
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 simulation (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
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.
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.
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.
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.
I develop iOS apps, and have experience in engineering. You can reach me here:
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