Top 121 coreml open source projects

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

tf-openpose Based iOS Project

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

Visualizer for neural network, deep learning, and machine learning models

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Vocalization sign language iOS App with deep learning using CoreML.

A collection of experiences utilizing machine learning models from Fritz AI

An example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text

Source code for the book Core ML Survival Guide

convert facenet and mtcnn models from tensorflow to tensorflow lite and coreml （使用 TFLite 将 FaceNet 和 MTCNN 移植到移动端）

A Show And Tell implementation for iOS 11.0 based on CoreML

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

Hand-gesture recognition on iOS app using CoreML

I checked the performance by running PoseNet on CoreML

Discover, download, compile & launch different image processing & style transfer CoreML models on iOS.

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

Real-time object-detection using SSD on Mobilenet on iOS using CoreML, exported using tf-coreml

🤖 The Cocoa Artificial Intelligence Lab

A CoreML model which classifies images of food

Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.

Using Machine Learning to predict the type of exercise from movement data

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

😃 iOS11 demo application for sentiment polarity analysis.

📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS [and Apple Platforms].

A NSFW (aka porn) detector with CoreML

Code examples for ARKit.

Face Landmark Detector based on Mobilenet V1

A simple demo for Core ML

🌸 iOS11 demo application for flower classification.

This native plugin enables Unity to take advantage of specific features of Core-ML and Vision Framework on the iOS platform.

OpenPose Example App

Source code for my blog post series "On-device training with Core ML"

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Detect facial landmarks with TensorFlow and CoreML on iPhone.

Visual programming language written in Swift that assembles to executable Swift code. WWDC '18 scholarship submission.

Semantic segmentation on iPhone using ESPNetv2

A camera object recognition demo using the CoreML & AVCam framework. Required XCode 9 & iOS 11.

NSLinguisticTagger provides a uniform interface to a variety of natural language processing functionality with support for many different languages and scripts. One can use this class to segment natural language text into paragraphs , sentences, or words and tag information about those segments such as parts of speech, lexical class, lemma!

Real-time Mobile Car Pose Estimation with CoreML

CoreML Vision Text Data & Animal Detector iOS App

🎥 iOS11 demo application for dominant objects detection.

[Deprecated] 🇨🇳中国二代身份证光学识别

Hand-Drawn Emoji Classifier (WWDC18 Scholarship Application)

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

🏷 iOS11 demo application for predicting gender from first names.

A simple demo for Core ML and Style Transfer

The better way to deal with MNIST model and Core ML in iOS

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

A demo of creating your own CoreML model

An iOS swift app that detects objects using machine learning (CoreML, Vision)

A troll app to check if an object seen by your camera is a lion. Uses iOS CoreML, Vision APIs

Deep learning installed Shape Detector using Keras and CoreML 📱

Human Activity Recognition (HAR) with Keras and CoreML

Build an OCR for iOS apps

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

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

Detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.