Coreml Open Source Projects

Ultralytics YOLOv5 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.

Run Stable Diffusion on Mac natively

Largest list of models for Core ML (for iOS 11+)

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.

Native Mac APIs for Go. Soon to be renamed DarwinKit!

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

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.

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.

Tutorials for creating and using ONNX models

👨🏻‍💻 Examples of new iOS 11 APIs

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

Everything we actually know about the Apple Neural Engine (ANE)

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

Apple Silicon Guide. Learn all about the A17 Pro, A16 Bionic, R1, M1-series, M2-series, and M3-series chips. Along with all the Devices, Operating Systems, Tools, Gaming, and Software that Apple Silicon powers.

Converted CoreML Model Zoo.

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

Code examples for ARKit.

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

TensorFlow to CoreML Converter

The challenge projects for Inferencing machine learning models on iOS

Caffe Implementation of Google's MobileNets (v1 and v2)

Visual programming language written in Swift that assembles to executable Swift code.

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

Samples and Tools for Windows ML.

[Deprecated] 🇨🇳中国二代身份证光学识别

:dancer: Real-time single person pose estimation for Android and iOS.

A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.

A curated collection of iOS, ML, AR resources sprinkled with some UI additions

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.

Real-Time Semantic Segmentation in Mobile device

The MobileNet neural network using Apple's new CoreML framework

The example project of inferencing Pose Estimation using Core ML

Export Hugging Face models to Core ML and TensorFlow Lite

PyTorch Project Specification.

Sample application using Vision Framework and Core ML

iOS Core ML implementation of waifu2x

Collection of models for Core ML

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.

Waifu2x-ios port to macOS, still in Core ML and Metal

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

ONNX to Core ML Converter

CoreML and Keras implementation of Super-Resolution Convolutional Neural Network (SRCNN)

Torch7 -> CoreML

Core ML demo app with Unsplash API

Simple project to recognize hands in realtime. 👋 Serves as an Example for building your own object recognizer.

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.

An example running Object Detection using Core ML (YOLOv8, YOLOv5, YOLOv3, MobileNetV2+SSDLite)

A free and open-source inpainting app powered by coreml on iPhone / iPad / MacBook with M CPU.

👀 iOS11 demo application for age and gender classification of facial images.

Face Detection with CoreML

Student submissions for the WWDC 2019 Scholarship

Background Removal written with swift using u2net model

Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.

Source code for the book Core ML Survival Guide

tf-openpose Based iOS Project