从 65,712 个高星开源项目里，
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yolov5 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

netron 是用 JavaScript 编写的学习资料，用于系统学习与查阅。

Visualizer for neural network, deep learning and machine learning models

yolov3 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打轻量、实时。

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format …

catboost 是用 C++ 编写的代码库，提供可直接复用的能力，主打高性能、速度快、可伸缩。

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learn…

MochiDiffusion 是用 Swift 编写的 AI 工具，用于人工智能方向的建模与推理，主打适合生产环境。

Run Stable Diffusion on Mac natively

Awesome-CoreML-Models 是用 Python 编写的资源清单，按主题汇总同类优质资源。

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

MMdnn 是用 Python 编写的可视化工具，用于图表与数据展示。

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert model…

darwinkit 是用 Go 编写的移动端方案，用于移动应用开发。

Native Mac APIs for Go. Previously known as MacDriver

coremltools 是用 Python 编写的学习资料，用于系统学习与查阅。

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

TNN 是用 C++ 编写的学习资料，用于系统学习与查阅，主打高性能、跨平台、开源免费。

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguish…

PINTO_model_zoo 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenV…

iOS-11-by-Examples 是用 Swift 编写的 AI 工具，用于人工智能方向的建模与推理。

👨🏻‍💻 Examples of new iOS 11 APIs

ios-learning-materials 是用 Swift 编写的资源清单，按主题汇总同类优质资源。

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

FluidAudio 是用 Swift 编写的多媒体工具，用于处理音视频内容，主打开源免费。

Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by …

neural-engine 是一个 AI 工具，用于人工智能方向的建模与推理。

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

AnimeGANv3 是用 Python 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

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

Apple-Silicon-Guide 是用 Swift 编写的学习资料，用于系统学习与查阅。

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 …

CoreML-Models 是用 Swift 编写的学习资料，用于系统学习与查阅。

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling…

CoreML-in-ARKit 是用 Swift 编写的学习资料，用于系统学习与查阅，主打易用。

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.

NSFWDetector 是用 Swift 编写的学习资料，用于系统学习与查阅。

A NSFW (aka porn) detector with CoreML

laya-coreml 是用 Python 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy bench…

ARKit-Sampler 是用 Swift 编写的移动端方案，用于移动应用开发。

Code examples for ARKit.

CoreMLHelpers 是用 Swift 编写的学习资料，用于系统学习与查阅。

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

awesome-ml-demos-with-ios 是用 Python 编写的资源清单，按主题汇总同类优质资源。

The challenge projects for Inferencing machine learning models on iOS