A Swift library for creating and exporting CoreML Models in Swift
Repository Index
47,133 repositories indexed
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Hand-gesture recognition on iOS app using CoreML
- ios
- ios11
- swift
- coreml
The example of running Depth Prediction using Core ML
- depth-prediction
- swift
- fcrn-depthprediction
- coreml
macOS desktop in a terminal pane over SSH: ScreenCaptureKit capture, kitty graphics rendering, no VNC/codec/extra port
- kitty-graphics
- macos
- remote-desktop
- screencapturekit
Using Machine Learning to predict the type of exercise from movement data
- keras
- tensorflow
- coreml
- googlecloudml
FileManager replacement for Local, iCloud and Remote (WebDAV/FTP/Dropbox/OneDrive) files -- Swift
- swift
- nsfilemanager
- filemanager
- icloud
😃 iOS11 demo application for sentiment polarity analysis.
- ios
- swift
- swift4
- coreml
Holistically-Nested Edge Detection (HED) using CoreML and Swift
- coreml
- swift
- hed
- caffe
Super powerful remote config utility written in Swift (iOS, watchOS, tvOS, OSX)
🌸 iOS11 demo application for flower classification.
- ios
- swift
- swift4
- vision
Capacitor plugin for calendars and events on iOS and Android, reminders on iOS, and .ics event creation on the web.
Number Pad (inspired by Square)
- numpad
- keyboard
- digits
- swift
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Incrementable UILabel for iOS and tvOS
:cat: GitHub contributions app, for iOS, WatchOS, and OSX
🖼 iOS11 demo application for image style classification.
- ios
- swift
- swift4
- vision
An example of CoreML using a pre-trained VGG16 model
- swift
- coreml
- ios11
- xcode9
🌅 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.
Emblems from Star Wars in Swift playgrounds