120 Open source projects that are alternatives of or similar to iSpyML

Source code for the book Core ML Survival Guide

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.

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

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

😃 iOS11 demo application for sentiment polarity analysis.

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).

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

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

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.

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

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

Face Landmark Detector based on Mobilenet V1

🌅 iOS11 demo application for visual sentiment prediction.

A collection of experiences utilizing machine learning models from Fritz AI

Collection of samples and demos of features introduced in iOS 11

A Show And Tell implementation for iOS 11.0 based on CoreML

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.

I checked the performance by running PoseNet on CoreML

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…

🤖 The Cocoa Artificial Intelligence Lab

The example of running Depth Prediction using Core ML

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

Element detection with Vision Framework and CoreML

A NSFW (aka porn) detector with CoreML

The challenge projects for Inferencing machine learning models on iOS

tf-openpose Based iOS Project

A simple demo for Core ML

YOLOv3 for iOS implemented using CoreML.

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

An open-source CoreML model trained on the ESC10 dataset

Vocalization sign language iOS App with deep learning using CoreML.

CarLens - Recognize and Collect Cars

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

Face detection and recognition with CoreML and ARKit

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）

PyTorch Project Specification.

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

Hand-gesture recognition on iOS app using CoreML

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

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

CoreML.framework Demo App

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

HED real-time iOS edge detector.

A CoreML model which classifies images of food

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

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

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

📚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 Big Awesome List CoreML Models.

Code examples for ARKit.

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!

Predict handwritten digits with CoreML

Proof-of-concept of emotion-targeted content delivery using machine learning and ARKit.

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.

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

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

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