There are 19 repositories under coreml topic.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning, and machine learning models
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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.
Largest list of models for Core ML (for iOS 11+)
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
👨🏻💻 Examples of new iOS 11 APIs
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, 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].
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.
A NSFW (aka porn) detector with CoreML
Visual programming language written in Swift that assembles to executable Swift code. WWDC '18 scholarship submission.
Types and functions that make it a little easier to work with Core ML in Swift.
[Deprecated] 🇨🇳中国二代身份证光学识别
The challenge projects for Inferencing machine learning models on iOS
A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
Samples and Tools for Windows ML.
Detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
Everything we actually know about the Apple Neural Engine (ANE)
A curated collection of iOS, ML, AR resources sprinkled with some UI additions
Real-Time Semantic Segmentation in Mobile device
Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
Collection of models for Core ML
Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes
iOS Core ML implementation of waifu2x
Waifu2x-ios port to macOS, still in Core ML and Metal
Core ML demo app with Unsplash API
Simple project to recognize hands in realtime. 👋 Serves as an Example for building your own object recognizer.
👀 iOS11 demo application for age and gender classification of facial images.
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation