Popular GitHub Repositories for Mlmodel

Automatically check mismatch between code and comments using AI and ML

Adding the Feature "Real World Path Direction" by tapping on Map. GoogleMap will give us the direction to that location from user location then click on "ARView" & you will get the real-world path direction. Also added "Reachability" for finding path in Google map. -- Also added .mlmodel for car-detection. Initially trained the model using Convolutional Neural Network in TensorFlow, then convert the .h5 output into .mlmodel. Use it in the application. please check : https://github.com/ashislaha/CarDetection-Keras & https://github.com/ashislaha/CarDetection-iOS for more details how to train a model. -- In ARFrame generates capturedImage which is the input to .mlmodel for detecting that car is present in the image or not. -- This project combines both ARKit & CoreML.

Face detection & recognition AR app using the mlmodel to recognize company employees.

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

GPT2 running locally on the Apple Watch Ultra 2

Onnx to coreML converter . CoreML 8.1 - mlpackage

Python scripts for use with Turi Create to output a Xcode compatible mlmodel file for use with machine learning object detection with the CoreML or Vision frameworks.

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.

Object detection on iOS mobile device with Vision and Core ML(mlmodel)

This is an iOS app that identifies the flower from its photo and also gives detailed information about it.

Image Segmentation

CoreML and Machine & Learning Advanced CoreML - CoreML Tools & Converting Models - GitHub of The App Brewery : https://github.com/appbrewery/WhatFlower-Completed-iOS13

iOS app - used Core ML

CreateML - Building Your Own Machine Learning Model from Scratch

Core ML image recognition app using the Inceptionv3.mlmodel The model is the culmination of many ideas developed by multiple researchers over the years. It is based on the original paper: "Rethinking the Inception Architecture for Computer Vision" by Szegedy, et. al.

An app that uses MachineLearning model to identify if a photo contains: dog, cat or rabbit.

CIFAR-10 trained with CreateML and a SwiftUI app for real time model testing. Kaggle Score: 0.69660

? Mobile-first plant disease detection using CoreML & CreateML An iOS app that leverages computer vision to classify plant diseases in real-time. Trained on 87k+ images, the model achieves good accuracy and works offline, making it ideal for farmers and agronomists in remote areas.