Technology
CoreML
Integrate trained machine learning models directly into your Apple apps: maximum on-device performance leveraging Apple silicon.
Core ML is Apple’s foundational framework for running machine learning models on-device, ensuring fast, private, and efficient execution across iOS, macOS, watchOS, and tvOS. It automatically optimizes performance by intelligently utilizing the CPU, GPU, and the specialized Neural Engine on Apple silicon. Developers use `coremltools` to convert models from popular third-party training frameworks (like TensorFlow or PyTorch) into the required `.mlmodel` format. This enables powerful app features: real-time image classification, natural language processing, and generative AI models run strictly on the user's device.
What builders pair with CoreML
Projects using both technologies. Select a pairing to see a project.
2 more pairings
Pairing: ClearML
Building Chessboard Recognition App with my daughter
Pairing: MLX Server
Pico Server
Pairing: MobileOne
Building Chessboard Recognition App with my daughter
Pairing: Optuna
Building Chessboard Recognition App with my daughter
Pairing: Pico Server
Pico Server
Pairing: RF-DETR
Building Chessboard Recognition App with my daughter
Recent Talks & Demos
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