Ready to use Core ML VAEs in MLMODELC format
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Updated
Dec 25, 2023
Ready to use Core ML VAEs in MLMODELC format
Swift package used to easily integrate classifier coreML models into your code.
Confoo 2018 - Add Machine Learning to your iOS App with Core ML
Open Source Core ML project capable of identifying various types of food. Cloning this project will result in build failures as certain files such as the model itself are too large to upload.
This project is a demo on using CoreML framework for sentiment analysis of text. .mlmodel was developed from Scikit-learn Pipeline using coremltools python package. More details here : https://developer.apple.com/documentation/coreml/converting_trained_models_to_core_ml
Stock prediction using Twitter response by users
iOS App that guesses what you have drawn. It is creating using SwiftUI interface and CoreML. Model is trained using Google's Quick Draw Dataset
Combining the power of MobileNetV2 with the privacy of on-device learning. Benefit from real-time updates and efficient image processing, all while ensuring your data remains securely on your device. Experience precision, speed, and trust with PixeLearner.
Front end applciation with core ml cnn model
PictionAIry, my WWDC18 scholarship entry!
Take your food's photo and let the code guess it
Real time camera object detection with Machine Learning in swift. Basic introduction to Core ML, Vision and ARKit.
A repository of generated Julia models from Apple's CoreML protobuf message format
A few stylization coreML models that I've trained with CreateML
Inspired by the app made by Jin Yang in "Silicon Valley"
Test Example of CoreML
A SwiftUI app using CoreML & Vision to extract text content from the images and querying from the context. Underlying it uses Google's BERT model which converted into CoreML model
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