Orange-Share
CoreML-Models
| Orange-Share | CoreML-Models | |
|---|---|---|
| 1 | 2 | |
| 46 | 6,241 | |
| - | - | |
| 0.0 | 2.3 | |
| about 1 year ago | 11 months ago | |
| Python | Python | |
| 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.
Orange-Share
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Differentiating shortcut input types inside of the shortcut
I created some Shortcuts that communicate with a server on my computer to send content from my iPhone/iPad to a Windows/Linux computer from the share sheet - kind of like AirDrop (Orange Share for anybody interested).
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
What are some alternatives?
Clendar - Clendar - Minimal Calendar app. Written in SwiftUI.
Swift-AI - The Swift machine learning library.
remove-mdm - Steps to remove MDM (mobile device management) restrictions from an iPad
Tensorflow-iOS
awesome-testflight-link - Collection of Testflight public app link（iOS/iPad OS/macOS）。
Caffe2
CoreML-samples - Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
BrainCore - The iOS and OS X neural network framework
MLKit - A simple machine learning framework written in Swift 🤖
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.
Awesome-Mobile-Machine-Learning - A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.