CoreML-Models
MLKit
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| CoreML-Models | MLKit | |
|---|---|---|
| 2 | - | |
| 6,212 | 151 | |
| - | - | |
| 2.3 | 0.0 | |
| 10 months ago | over 5 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
MLKit
We haven't tracked posts mentioning MLKit yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Swift-AI - The Swift machine learning library.
Tensorflow-iOS
BrainCore - The iOS and OS X neural network framework
Caffe2
react-native-vision-camera - 📸 A powerful, high-performance React Native Camera library.
CoreML-samples - Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
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
Porcupine  - On-device wake word detection powered by deep learning
Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
iOS-App-Design-Guidelines - Read this blog for iOS app design guidelines, principles, process and best designed iOS app to get inspired. iOS mobile app design guideline.