AIToolbox
Swift-AI
Our great sponsors
AIToolbox | Swift-AI | |
---|---|---|
0 | 1 | |
792 | 5,995 | |
- | 0.0% | |
0.0 | 0.0 | |
over 3 years ago | almost 7 years ago | |
Swift | Swift | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AIToolbox
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Tracking mentions began in Dec 2020.
Swift-AI
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Are people using Swift for machine learning / differentiable programming outside of Apple?
Before CoreML was released (and also before BNNS), I wrote SwiftAI. The project made heavy use of Accelerate and the algorithms were written from scratch. It was a great project, and I planned to make a lot of additions, but CoreML came out pretty soon afterward and made the project mostly obsolete. Still a great learning experience and there was a fair bit of interest at the time.
What are some alternatives?
CoreML-Models - Largest list of models for Core ML (for iOS 11+)
Swift-Brain - Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.
BrainCore - The iOS and OS X neural network framework
Tensorflow-iOS
PDFGenerator - A simple generator of PDF written in Swift.
SpriteKit+Spring - SpriteKit API reproducing UIView's spring animations with SKAction
Awesome-Mobile-Machine-Learning - A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
Caffe2
EVURLCache - a NSURLCache subclass for handling all web requests that use NSURLRequest
MLKit - A simple machine learning framework written in Swift 🤖
protobuf-swift - Google ProtocolBuffers for Apple Swift
DL4S - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux