Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Visualizer for neural network, deep learning and machine learning models
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
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
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.
Frontier CoreML audio models in your apps β text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Everything we actually know about the Apple Neural Engine (ANE)
Core ML model zoo for iOS/macOS β PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.
Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.
AI speech toolkit for Apple Silicon β ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
Optimized Whisper models for streaming and on-device use
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift
Fast, offline OCR for Node.js & C++. PP-OCRv6 with Core ML / WebGPU hardware acceleration β recognize text in images with confidence scores & coordinates. npm: @arcships/light-ocr
Peak compute, memory bandwidth and latency of CPUs, GPUs and NPUs: the same tests through every API that reaches a device. Command line and app for Windows, macOS, Linux and Android
Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.
Local computer use on Apple silicon: on-device typed decisions with laya and form filling with CUA-S1-FORMS, driven through the macOS Accessibility API
Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.
CoreML-native local decision runtime for AI agents Β· 18 install profiles Β· 20-scenario protocol Β· offline Β· ~50.93 MB Β· by Soulite Magic
NVIDIA DLSS 5 neural rendering and DLSS frame generation on Apple Silicon (MLX/Metal, Core ML) and PyTorch; weights extracted from your own DLSS libraries
Open-source native macOS menu bar app that frosts your screen when you look away with AirPods.
Build Real-Time CoreML Vision Apps: 2026 Swift Meetup Example Guide
π Your face is the password. Face unlock for your Mac's lock screen, plus App Lock for chosen apps. 100% on-device, built with Swift and Core ML.
Community Core ML runtime, Swift SDK, and iOS/macOS samples for Irodori TTS v4.1 Small MF.
Local text-to-speech: 28 voices, 10 languages, voice cloning, SDKs for Python, Swift, Go, Rust and TypeScript
Example macOS app and CLI to generate short clips, fully on device.