Here are
35 public repositories
matching this topic...
Largest list of models for Core ML (for iOS 11+)
Updated
Dec 17, 2019
Python
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
Updated
Nov 19, 2019
Swift
Types and functions that make it a little easier to work with Core ML in Swift.
Updated
Dec 26, 2019
Swift
🎰 A curated list of machine learning resources, preferably CoreML
The MobileNet neural network using Apple's new CoreML framework
Updated
Sep 22, 2018
Swift
Train and deploy machine learning models for mobile apps with Fritz AI.
Updated
May 19, 2020
Python
Text Detector from image for react native using firebase MLKit on android and Tesseract on iOS
Updated
Nov 26, 2019
Java
Running Inception-v3 on Core ML
Updated
Jun 7, 2019
Swift
This native plugin enables Unity to take advantage of specific features of Core-ML and Vision Framework on the iOS platform.
🕶 An iOS app which will support the blind in traffic
Updated
Nov 27, 2019
Swift
A real-time classifier demo using Core ML and pre-trained Resnet50 model on iOS 11.
Updated
Apr 17, 2018
Swift
Types and functions that make it a little easier to work with Core ML in Swift.
Updated
Aug 16, 2018
Swift
A Core ML compatible implementation of semantic segmentation with ICNet in Keras.
Find out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀
Updated
Aug 4, 2017
Swift
📝 Scripts to generate the BlindAssist Core ML model
Updated
Jan 19, 2020
Python
iOS alarm application for users who want to sleep efficiently based on machine learning - sound classification (Core ML)
Updated
May 7, 2020
Swift
An Application that can control a timer with just a Look at your hand. Not Kidding...Seriously.
Updated
May 30, 2020
Swift
Building a iOS Application using Apple's Core ML Framework, we will builed a Linear SVC model using sklearn library on the SMS Data, users will type a message on their iPhone and our model will then identify whether the message is a Spam or a Ham (Not spam).
Updated
Jun 14, 2018
Swift
An iOS application that uses Computer Vision to generate a series of suitable hashtags given an inputted image.
Integrate machine learning models into your app for image recognition using core ML and Inception v3 Model
Updated
Mar 20, 2018
Swift
An Objective-C library for using SSD object detection models with the CoreML framework.
Updated
Dec 22, 2018
Objective-C
📝 Code used in article about CoreML
Updated
Jun 11, 2019
Swift
Starter project for intro to iOS at Capital One Software Summit.
Updated
Aug 14, 2017
Swift
There are two phases of this iOS application, one which has the implementation of Resnet Model (CoreML Model) and also Hand State Detection Model which i made using Custom Vision.
Updated
Jun 17, 2018
Swift
Machine Learning model optimizer and exporter for embedded systems and mobile platforms
Updated
Feb 7, 2018
Python
A demonstration of using CoreML
Updated
Sep 21, 2019
HTML
An iOS app developed using CoreML and Vision to answer the question "What's that flag?"
Updated
Apr 7, 2020
Swift
Core ML and Machine learning.
Updated
Feb 18, 2020
Swift
Check any image's nudity by just few lines of code
Updated
Nov 13, 2017
Swift
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Do we think we could combine the "Copy your Model ID " and "Adding the classifierID" sections so the steps read more chronologically? Specifically it would be more natural for a user to copy and paste each field into XCode independently (ie making step 2 in "adding the classifierID" come after step 3 in "Copy your Model", etc).
Following current instructions, users are likely to replace Model