A curated collection of iOS, ML, AR resources sprinkled with some UI additions
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Updated
Nov 15, 2023 - Swift
A curated collection of iOS, ML, AR resources sprinkled with some UI additions
Hand-gesture recognition on iOS app using CoreML
Demo of using keras to generate a neural network and iOS 11 to run the converted model.
Repository to accompany the blog post
Gender & Age Detector IOS App 👨
Repo accompanying the blog post "How to Deploy A State-of-the-art PyTorch Model to iOS via Core ML (Part 3)".
Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.
Final Draft for the 4th Year Project Submission. Saves image for each scan, along with the text detected into a PDF.
Introduction to XGBoost with an Implementation in an iOS Application
Keras, Vision y CoreML para desarrollar una app que identifica los números de serie de las bicicletas del servicio BiciMAD
CoreML custom layer (GPU-accelerated) and converter for torchvision.ops.deform_conv2d
Use CoreMLTools to differentiate flower
Sample App to classify Simpsons using Keras
Repo accompanying the blog post "How to Deploy PyTorch Models with Core ML Conversion Issues"
AnnotateEase - Easily and quickly label text data.
Autonomous attendance system based on mobile applications, UHF RFID and NFC. Funded by Vietnam National University, Ho Chi Minh City (VNU-HCM).
This is an iOS app that identifies the flower from its photo and also gives detailed information about it.
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