1930 Open source projects that are alternatives of or similar to Awesome Coreml Models

A Big Awesome List CoreML Models.

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…

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

Pre-trained Deep Learning models and demos (high quality and extremely fast)

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.

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Predict handwritten digits with CoreML

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

Find out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀

Collection of models for Core ML

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

📚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 collection of Audio and Speech pre-trained models.

A collection of computer vision pre-trained models.

All Apple devices model name list. 通过内部编号判断 iOS 设备型号。

Now playing controller from Apple Music, Mail & Podcasts Apple's apps.

Coolie(苦力) helps you to create models (& their constructors) from a JSON file.

Typegoose - Define Mongoose models using TypeScript classes.

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

Elegant Tesla API in Swift

🌅 iOS11 demo application for visual sentiment prediction.

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.

Samples and Tools for Windows ML.

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

Bridging caffe2 with yolo, esp on mobile devices

Now playing controller from Apple Music, Mail & Podcasts Apple's apps.

php wrapper for opencv

Hand-gesture recognition on iOS app using CoreML

The world's most advanced fart app. Ever.

A demo Augmented Reality shooter made with ARKit in Swift (iOS 11)

color field for django models with a nice color-picker in the admin. 🎨

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

A simple image classification test using Core ML and Inception V3 model in Objective-C

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

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

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

Computer vision based ML training data generation tool 🚀

Tensorflow Implementation of Yahoo's Open NSFW Model

Torch7 -> CoreML

Collection of samples and demos of features introduced in iOS 11

Apple InAppPurchase Receipt - Models, Parser, Validator

Real time image recognition using Core ML

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Tool that can parse Go files into an abstract syntax tree and translate it to several programming languages.

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

👨🏻‍💻 Examples of new iOS 11 APIs

Run TensorFlow models in C++ without installation and without Bazel

A collection of pre-trained, state-of-the-art models in the ONNX format

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

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.

Basic Concepts and Projects using ARKit on iOS.

ARKit Base Project. Place virtual objects based on WWDC example project

Customizable download button with progress and transition animations. It is based on Apple's App Store download button.

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