Popular GitHub Repositories for Swift4

Optical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别

? iOS11 demo application for age and gender classification of facial images.

? The Cocoa Artificial Intelligence Lab

CarLens - Recognize and Collect Cars

? iOS11 demo application for sentiment polarity analysis.

NSLinguisticTagger provides a uniform interface to a variety of natural language processing functionality with support for many different languages and scripts. One can use this class to segment natural language text into paragraphs , sentences, or words and tag information about those segments such as parts of speech, lexical class, lemma!

? iOS11 demo application for dominant objects detection.

A simple demo for Core ML and Style Transfer

? iOS11 demo application for predicting gender from first names.

? iOS11 demo application for visual sentiment prediction.

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

A Swift library for integrating with the OpenAI Assistants API, enabling the creation and management of assistants, message processing, and AI runs.

Image recognition iOS app with Apple’s CoreML and Vision APIs

CoreML Adobe Air Native Extension for OSX 10.13+ and iOS 11.0+, tvOS 11.0+

Custom Entity Recognition with iOS 12 and the Natural Language framework. An Xcode Playground which trains a tagger to tag Apple products in a chunk of text.

An app that uses CoreML and SqueezeNet to take a picture and tell what the object it thinks is in the picture!

A neural image contextualised caption generator based on CoreML

This is the FishSnap iOS 11 / Swift 4 based image recognition app that uses a custom fish category dataset as a pre-trained model for Core ML to classify what type of fish is in your photo.

Hotdog is an iOS 11 / Swift 4 based image recognition app that uses Core ML to classify whether an image is a Hotdog or Not a Hotdog.

Apple CoreML with AVSpeech