Displaying 1 to 20 from 54 results

ARKit-Sampler - Code examples for ARKit.

  •    Swift

ARKit-Sampler is a collection of ARKit samples. A simple AR with 3 lines code.

NSFWDetector - A NSFW (aka porn) detector with CoreML

  •    Swift

NSFWDetector is a small (17 kB) CoreML Model to scan images for nudity. It was trained using CreateML to distinguish between porn/nudity and appropriate pictures. With the main focus on distinguishing between instagram model like pictures and porn. If you want to enforce stricter boundaries for your platform, just apply a lower threshold for the confidence.

Awesome-CoreML-Models - Largest list of models for Core ML (for iOS 11+)

  •    HTML

We've put up the largest collection of machine learning models in Core ML format, to help iOS, macOS, tvOS, and watchOS developers experiment with machine learning techniques. We've created a site with better visualization of the models CoreML.Store, and are working on more advance features. If you've converted a Core ML model, feel free to submit an issue.




VisualProgrammingLanguage - A visual programming language written in Swift that assembles to executable Swift code

  •    Swift

This project aims to proof the node-based visual programming language that assembles executable Swift code and can be written using an Apple Pencil or touch entirely. See wwdc-submission branch for the original files submitted for my WWDC 2018 scholarship.

iOS-11-by-Examples - 👨🏻‍💻 Examples of new iOS 11 APIs

  •    Swift

Code examples for new APIs of iOS 11. Note: The project requires Xcode 9, Swift 4 and iOS 11.

NextLevel - ⬆️ Rad Media Capture in Swift

  •    Swift

NextLevel is a Swift camera system designed for easy integration, customized media capture, and image streaming in iOS. Integration can optionally leverage AVFoundation or ARKit. Alternatively, drop the NextLevel source files or project file into your Xcode project.

Lumina - A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features

  •    Swift

Would you like to use a fully-functional camera in an iOS application in seconds? Would you like to do CoreML image recognition in just a few more seconds on the same camera? Lumina is here to help. Cameras are used frequently in iOS applications, and the addition of CoreML and Vision to iOS 11 has precipitated a rash of applications that perform live object recognition from images - whether from a still image or via a camera feed.


ios-learning-materials - 📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS

  •    Swift

Last Update: 10/October/2018. Curated list of articles, web-resources, tutorials, Stack Overflow and Quora Q&A, GitHubcode repositories and useful resources that may help you dig a little bit deeper into iOS. All the resources are split into sub-categories which simlifies navigation and management. Feel free to use and suggest something to learn (iOS related of course 😜).

MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks

  •    Python

A comprehensive, cross-framework solution to convert, visualize and diagnosis deep neural network models. The "MM" in MMdnn stands for model management and "dnn" is an acronym for deep neural network.Across the industry and academia, there are a number of existing frameworks available for developers and researchers to design a model, where each framework has its own network structure definition and saving model format. The gaps between frameworks impede the inter-operation of the models.

SeeFood - Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

  •    Swift

For a step by step guide on how to build SeeFood: How to train your own model for CoreML. Xcode 9 (currently Version 9.0 beta 3 (9M174d)). The trained CoreML data model which can be downloaded here. An iOS device running iOS 11+.

torch2coreml - Torch7 -> CoreML

  •    Python

This tool helps convert Torch7 models into Apple CoreML format which can then be run on Apple devices. If you want to run tests, you need MacOS High Sierra 10.13 installed.

CoreMLHelpers - Types and functions that make it a little easier to work with Core ML in Swift.

  •    Swift

This is a collection of types and functions that make it a little easier to work with Core ML in Swift. Simply add the source files from the CoreMLHelpers folder to your project.

ARTagger - An app to put 3D tags in real world

  •    Swift

This is my project for Strikingly 6th Hackathon. I basically want to play around with ARKit and coreML, so this idea came out. The app is for tagging stuff on real world, to avoid letting users input tag manually, a coreML model can automatically recognize stuff for you. But the accuracy is actually depending on the model.

momo_mind - Tensorflow/Kerasによる"ももクロ"顔識別アプリ

  •    Javascript

Face classifier for "Momoiro Clozer Z" member using Tensorflow/Keras.

ios-ml-dog-classifier - An iOS app that can detect a dog and determine its breed from an image or video feed

  •    Swift

This iOS app uses CoreML and a neural network classifier built by James Requa, a graduate from Udacity's Deep Learning Nanodegree Foundation program, and it can detect a dog and determine its breed from an image or live video. Note: You must use Xcode 9 (supports iOS 11) to build this app.

ios-short-core-ml - iOS image classification app using Core ML and MobileNet

  •    Jupyter

Resources for Udacity's Core ML mini-course. This repository contains the iOS image classification app (SmartGroceryList) in various formats including its integration with and without Vision framework. A custom Core ML model is also included. If you don't have Docker installed, you can find instructions on installing here.

StyleArt - Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style

  •    Swift

Style Art is a library that process images using COREML with a set of pre trained machine learning models and convert them to Art style. Download and drop the 'StyleArt' folder into your Xcode project.

Avengers - 👾Demo how to use CoreML with IBM Watson, Azure Custom Vision, Turi Create

  •    Swift

Avengers is available under the MIT license. See the LICENSE file for more info.