coreml
There are 39 repositories under coreml topic.
- yolov5
ultralytics / yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Language:Python 55356 - netron
lutzroeder / netron
Visualizer for neural network, deep learning and machine learning models
Language:JavaScript 31385 catboost / catboost
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.
Language:C++ 8576MochiDiffusion / MochiDiffusion
Run Stable Diffusion on Mac natively
Language:Swift 7775likedan / Awesome-CoreML-Models
Largest list of models for Core ML (for iOS 11+)
Language:Python 6816microsoft / MMdnn
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.
Language:Python 5811- Language:Go 5308
apple / coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Language:Python 4945Tencent / TNN
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.
Language:C++ 4577- PINTO_model_zoo
PINTO0309 / PINTO_model_zoo
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.
Language:Python 3911 - iOS-11-by-Examples
artemnovichkov / iOS-11-by-Examples
👨🏻💻 Examples of new iOS 11 APIs
Language:Swift 3307 eleev / ios-learning-materials
📚 Curated list of articles, tutorials and repos that may help you dig a little bit deeper into iOS [and Apple Platforms].
Language:Swift 3023hollance / neural-engine
Everything we actually know about the Apple Neural Engine (ANE)
TachibanaYoshino / AnimeGANv3
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
Language:Python 1951- Apple-Silicon-Guide
mikeroyal / Apple-Silicon-Guide
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.
Language:Swift 1777 hanleyweng / CoreML-in-ARKit
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.
Language:Swift 1695lovoo / NSFWDetector
A NSFW (aka porn) detector with CoreML
Language:Swift 1632- CoreML-Models
john-rocky / CoreML-Models
Converted CoreML Model Zoo.
- Language:Swift 1563
Types and functions that make it a little easier to work with Core ML in Swift.
Language:Swift 1428tucan9389 / awesome-ml-demos-with-ios
The challenge projects for Inferencing machine learning models on iOS
Language:Python 1262NathanFlurry / VisualProgrammingLanguage
Visual programming language written in Swift that assembles to executable Swift code.
Language:Swift 1188Samples and Tools for Windows ML.
Language:C++ 1092chongzhou96 / EdgeSAM
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
Language:Jupyter Notebook 1058KevinGong2013 / ChineseIDCardOCR
[Deprecated] 🇨🇳**二代身份证光学识别
Language:Swift 1032anupamchugh / iowncode
A curated collection of iOS, ML, AR resources sprinkled with some UI additions
Language:Swift 910dokun1 / Lumina
A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
Language:Swift 904- onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
Language:Python 851 NovatecConsulting / FaceRecognition-in-ARKit
Detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
Language:Swift 842akirasosa / mobile-semantic-segmentation
Real-Time Semantic Segmentation in Mobile device
Language:Python 722- Language:Python 680
huggingface / exporters
Export Hugging Face models to Core ML and TensorFlow Lite
Language:Python 675- FluidAudio
FluidInference / FluidAudio
Native Swift and CoreML SDK for local speaker diarization, VAD, and speech-to-text for real-time workloads. Works on iOS and macOS.
Language:Swift 622 imxieyi / waifu2x-ios
iOS Core ML implementation of waifu2x
Language:Swift 586SwiftBrain / awesome-CoreML-models
Collection of models for Core ML
vsyw / Keras-OpenFace
Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
Language:Jupyter Notebook 575
