Tensorflow-iOS
CoreML-Models
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| Tensorflow-iOS | CoreML-Models | |
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| - | 2 | |
| - | 6,212 | |
| - | - | |
| - | 2.3 | |
| - | 10 months ago | |
| Python | ||
| - | MIT License |
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Tensorflow-iOS
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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?
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
AIToolbox - A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
BrainCore - The iOS and OS X neural network framework
Revolver - A framework for building fast genetic algorithms in Swift.
MLKit - A simple machine learning framework written in Swift 🤖
Swift-Brain - Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.
Porcupine  - On-device wake word detection powered by deep learning