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tutorial-for-xcode-lite

Examples from the "Tutorial for Xcode Lite" app available on iTunes

tweetsentimentrecognitionmodelmaker-macos10.15

Create ML project for training and generating a tweet recognition Core ML model that can recognize the sentiment. The generated Core ML model is used in https://github.com/denal05/Twittermenti-iOS13

twittermenti-ios13

Core ML tweet recognition model that can recognize the sentiment of the last 100 tweets that contain a particular keyword, thanks to Natural Language Processing (NLP). The Core ML model is trained and generated via https://github.com/denal05/TweetSentimentRecognitionModelMaker-macOS10.15

ud851-exercises

ud851-sunshine

whatflower-ios13

Core ML image recognition app using the oxford102.caffemodel and a custom Python v2.7 script to convert it into FlowerClassifier.mlmodel

woocommerce-ios

WooCommerce iOS app