CoreML-Models
Swift-AI
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| CoreML-Models | Swift-AI | |
|---|---|---|
| 2 | 1 | |
| 6,212 | 6,012 | |
| - | 0.3% | |
| 2.3 | 0.0 | |
| 10 months ago | almost 7 years ago | |
| Python | Swift | |
| MIT License | 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.
CoreML-Models
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I made an app completely on SwiftUI dedicated to browsing vehicles for sale on eBay. It got rejected for being too basic, should I justify any more time on this?
Super far fetched idea on passing 4.2 with iOS specific functionality: there are CoreML models specifically capable of identifying car makes and models (linked in this repo), which could allow you to take/select a photo, and automatically identify/search the car based on the prediction. That being said, it will not take into account nearly as many details as you can manually specify in your app. Nice work!
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[MacOs/Node JS] Is there a simple hand tracking library that works in node.js?
Mac? Use the built in coreml; https://github.com/likedan/Awesome-CoreML-Models
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?
Tensorflow-iOS
AIToolbox - A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Caffe2
BrainCore - The iOS and OS X neural network framework
CoreML-samples - Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
PDFGenerator - A simple generator of PDF written in Swift.
MLKit - A simple machine learning framework written in Swift 🤖
SpriteKit+Spring - SpriteKit API reproducing UIView's spring animations with SKAction
Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Awesome-Mobile-Machine-Learning - A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.