Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
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A NSFW (aka porn) detector with CoreML
- coreml
- swift
- lovoo
- ios
A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
iOS Core ML implementation of waifu2x
- waifu2x
- ios
- coreml
- nueral-networks
👀 iOS11 demo application for age and gender classification of facial images.
- ios
- swift
- swift4
- vision
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
- coreml
- prisma
- neural-network
- ios
A Car Recognition Framework for CoreML
A Swift library for creating and exporting CoreML Models in Swift
Hand-gesture recognition on iOS app using CoreML
- ios
- ios11
- swift
- coreml
Using Machine Learning to predict the type of exercise from movement data
- keras
- tensorflow
- coreml
- googlecloudml
😃 iOS11 demo application for sentiment polarity analysis.
- ios
- swift
- swift4
- coreml
🌸 iOS11 demo application for flower classification.
- ios
- swift
- swift4
- vision
🖼 iOS11 demo application for image style classification.
- ios
- swift
- swift4
- vision
🌅 iOS11 demo application for visual sentiment prediction.
- ios
- swift
- swift4
- vision
🏷 iOS11 demo application for predicting gender from first names.
- ios
- swift
- swift4
- coreml
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
- asr
- conformer
- coreml
- ios
CoreML Project that predicts the most likely next chord based on the entered Chord Progression. This project is based on the following AI Model project and article https://medium.com/@huanlui/chordsuggester-i-3a1261d4ea9e
Rhythm Trainer based on the idea of users snapping their fingers while listening to music. Won Apple's Global WWDC23 Swift Student Challenge.