Machine Learning

Apple machine learning teams are engaged in state of the art research in machine learning and artificial intelligence. Learn about the latest advancements.

2018年7月23日 — 今年在2018 WWDC 的大會上，Apple 發表了Core ML 2.0。這最新版本強調開發過程的流暢性，包括最佳化機器學習模型大小，改善執行的效能，並提供開發者 ...

Models are in Core ML format and can be integrated into Xcode projects. You can select different versions of models to optimize for sizes and architectures.

Use Core ML to integrate machine learning models into your app. Core ML provides a unified representation for all models. Your app uses Core ML APIs and user ...

Core ML 针对各种类型模型的设备端性能进行了优化，能够充分利用Apple 硬件并尽可能地减少内存占用空间和功耗。 新功能. 对Core ML 框架所做的更新提升了模型载入和推理 ...

Create ML has a variety of model types to choose from. Just select a model type in the app and add your data and parameters to start training.

Core ML delivers blazingly fast performance on Apple devices with easy integration of machine learning and AI models into your apps. Convert models from popular ...

Stable Diffusion with Core ML on Apple Silicon. Contribute to apple/ml-stable-diffusion development by creating an account on GitHub.