Holistically-Nested Edge Detection (HED) using CoreML and Swift
- coreml
- swift
- hed
- caffe
47,133 repositories indexed
25–37 of 37 · Most stars
Holistically-Nested Edge Detection (HED) using CoreML and Swift
🌸 iOS11 demo application for flower classification.
The repository host gives no description.
🖼 iOS11 demo application for image style classification.
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
An example of CoreML using a pre-trained VGG16 model
🌅 iOS11 demo application for visual sentiment prediction.
🏷 iOS11 demo application for predicting gender from first names.
A demo for iOS machine learning framework : Core ML
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.
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.