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catboost - CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
CatBoost is a machine learning method based on gradient boosting over decision trees. All CatBoost documentation is available here.
machine-learning decision-trees gradient-boosting gbm gbdt r kaggle gpu-computing catboost tutorial categorical-features distributed gpu coreml opensource data-science big-dataNSFWDetector - A NSFW (aka porn) detector with CoreML
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.
coreml lovoo ios ios-library cocoapods machine-learningAwesome-CoreML-Models - Largest list of models for Core ML (for iOS 11+)
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.
coreml coreml-model apple machine-learning curated-list coreml-framework coreml-models coremltools awesome-list models model download awesome core-ml ml caffe caffemodel tensorflow-models ios ios11VisualProgrammingLanguage - A visual programming language written in Swift that assembles to executable Swift code
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.
vpl coreml playground iosNextLevel - ⬆️ Rad Media Capture in 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.
nextlevel ios video photography camera capture media avfoundation coreimage snapchat instagram vine augmented-reality mixed-reality ar custom arkit vision coremlTNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server
TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN reasoning framework. Chinese OCR demo is the TNN implementation of chineseocr_lite project. It is lightweight and supports tilted, rotated and vertical text recognition.
ocr deep-learning tensorflow inference pytorch tengine face-detection tensorrt mnn coreml ncnn openvino hairsegmentaionCoreML-in-ARKit - Simple project to detect objects and display 3D labels above them in AR
This simple project detects objects in Augmented Reality and displays 3D labels on top of them. This serves as a basic template for an ARKit project to use CoreML. Note: SceneKit can achieve a 60 FPS on iPhone7+ - though when it gets hot, it'll drop to 30 FPS.
ios machine-learning deep-learning augmented-reality arkit coremlLumina - A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
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 coreml cameraios-learning-materials - 📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS
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 😜).
learning ios curated-list development scenekit arkit spritekit xcode tutorial article vision coreml-framework coreml clean-code uikit design-patterns mvvm awesome-list algorithmsMMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks
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.
cntk visualization tensorflow model-converter pytorch caffe keras mxnet coremlSeeFood - Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes
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+.
coreml swift4 ios machine-learning xcode9 image-classification caffe digitstorch2coreml - Torch7 -> CoreML
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.
ai torch coreml neural-style ios ios11 deep-learningGesture-Recognition-101-CoreML-ARKit - Simple project to recognize hands in realtime
This simple sample project recognizes hands in realtime. 👋 It serves as a basic example for recognizing your own objects. Suitable for AR 🤓. Written for the tutorial “Create your own Object Recognizer”. This demonstrates basic Object Recognition (for spread hand 🖐, fist 👊, and no hands ❎). It serves as a building block for object detection, localization, gesture-recognition, and hand tracking.
ios machine-learning computer-vision augmented-reality object-recognition gesture-recognition hand-tracking arkit coremlCoreMLHelpers - Types and functions that make it a little easier to work with Core ML in 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.
coreml core-ml machine-learning iosARTagger - An app to put 3D tags in real world
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.
arkit coreml ios11 iosmomo_mind - Tensorflow/Kerasによる"ももクロ"顔識別アプリ
Face classifier for "Momoiro Clozer Z" member using Tensorflow/Keras.
tensorflow coreml kerasios-ml-dog-classifier - An iOS app that can detect a dog and determine its breed from an image or video feed
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.
machine-learning keras coreml ios udacityios-short-core-ml - iOS image classification app using Core ML and MobileNet
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.
coreml mobilenet coremltools ios
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