coreml
dpearson26993.6k installs
Put on-device machine learning in your iOS app.
What it does
Guides Swift integration of on-device machine learning models into iOS apps, including loading, predictions, profiling, and deployment.
When to use it
Use when loading Core ML models, making predictions, configuring compute units, or profiling model performance.
How to use it
It changes how the agent integrates Core ML into an iOS app, providing Swift patterns and checks for correct loading, inference, and deployment.
What you provide
- An existing project
Latest review
What you need · 3
The Swift integration uses the CoreML framework.
The integration targets apps running on iOS.
Enables the documented performance-profiling work, measuring model loading, prediction latency, compute-device dispatch, and memory allocation.
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