131 Open source projects that are alternatives of or similar to CoreMLDemo

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

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

This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.

Keras Implementation of major CNN architectures

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

CarLens - Recognize and Collect Cars

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

Real-time Object Recognition using Apple's CoreML 2.0 and Vision API -

Implementation of a Neural Network that can detect whether a video is in-game or not

Predict handwritten digits with CoreML

A CoreML model which classifies images of food

YOLOv3 for iOS implemented using CoreML.

Deep neural network trained to detect eye contact from facial image

Enhance your iOS app with the ability to see and interact with humans using the RGB camera.

tf-openpose Based iOS Project

iOS app that detects LaTeX symbols from drawings. Built using PencilKit, SwiftUI, Combine and CoreML for iOS 14(or greater) and macOS 11(or greater).

Vocalization sign language iOS App with deep learning using CoreML.

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

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）

An iOS app that can detect a dog and determine its breed from an image or video feed.

Hand-gesture recognition on iOS app using CoreML

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

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

Create ML playgrounds for building machine learning models. For developers and data scientists.

The challenge projects for Inferencing machine learning models on iOS

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.

Automatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing

Visualizing where the Convolution Network is looking through CAM.

🕶 Classify images offline using Watson Visual Recognition and Core ML.

Exploring the connections between artworks with deep "Visual Analogies"

🌅 iOS11 demo application for visual sentiment prediction.

Image classification of wildflowers using deep residual learning and convolutional neural nets

An experimental CreateML project for predicting playing musical key and scale in realtime

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

WWDC 2017 Scholarship Submission by Phil Zet (Philipp Zakharchenko)

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

StyleGAN Encoder - converts real images to latent space

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

PyTorch Project Specification.

A collection of experiences utilizing machine learning models from Fritz AI

Face detection and recognition with CoreML and ARKit

Source code for the book Core ML Survival Guide

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

A Show And Tell implementation for iOS 11.0 based on CoreML

Element detection with Vision Framework and CoreML

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

HED real-time iOS edge detector.

I checked the performance by running PoseNet on CoreML

An open-source CoreML model trained on the ESC10 dataset

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.

The example of running Depth Prediction using Core ML

🤖 The Cocoa Artificial Intelligence Lab

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

Build your iOS 11+ apps with the ready-to-use Core ML models below

This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

Collection of samples and demos of features introduced in iOS 11

Boot Finder demonstrates the power of using on-device machine learning models to delight users in new and innovative ways. It's private too! Because this model runs on-device, customer photos never leave the phone!

A Big Awesome List CoreML Models.