Swift-AI
The Swift machine learning library. (by Swift-AI)
CoreML-Models
Largest list of models for Core ML (for iOS 11+) (by likedan)
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| Swift-AI | CoreML-Models | |
|---|---|---|
| 1 | 2 | |
| 6,012 | 6,221 | |
| 0.3% | - | |
| 0.0 | 2.3 | |
| almost 7 years ago | 10 months ago | |
| Swift | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Swift-AI
Posts with mentions or reviews of Swift-AI.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-25.
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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.
CoreML-Models
Posts with mentions or reviews of CoreML-Models.
We have used some of these posts to build our list of alternatives
and similar projects.
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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
What are some alternatives?
When comparing Swift-AI and CoreML-Models you can also consider the following projects:
AIToolbox - A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Tensorflow-iOS
BrainCore - The iOS and OS X neural network framework
Caffe2
PDFGenerator - A simple generator of PDF written in Swift.
CoreML-samples - Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
SpriteKit+Spring - SpriteKit API reproducing UIView's spring animations with SKAction
MLKit - A simple machine learning framework written in Swift 🤖
EVURLCache - a NSURLCache subclass for handling all web requests that use NSURLRequest
Porcupine  - On-device wake word detection powered by deep learning
Swift-AI vs AIToolbox
CoreML-Models vs Tensorflow-iOS
Swift-AI vs BrainCore
CoreML-Models vs Caffe2
Swift-AI vs PDFGenerator
CoreML-Models vs CoreML-samples
Swift-AI vs Tensorflow-iOS
CoreML-Models vs BrainCore
Swift-AI vs SpriteKit+Spring
CoreML-Models vs MLKit
Swift-AI vs EVURLCache
CoreML-Models vs Porcupine Â