Bender
CoreML-Models
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| Bender | CoreML-Models | |
|---|---|---|
| - | 2 | |
| 1,783 | 6,212 | |
| 0.2% | - | |
| 3.4 | 2.3 | |
| 5 months ago | 10 months ago | |
| Swift | Python | |
| Unknown | MIT License |
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Bender
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Tracking mentions began in Dec 2020.
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?
Tensorflow-iOS
Swift-AI - The Swift machine learning library.
CoreML-samples - Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
Caffe2
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
AIToolbox - A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
BrainCore - The iOS and OS X neural network framework
spokestack-ios - Spokestack: give your iOS app a voice interface!
MLKit - A simple machine learning framework written in Swift 🤖