coremltools and CoreMLHelpers
These are complements: coremltools handles model conversion and preparation at the framework level, while CoreMLHelpers provides Swift-specific utility types and functions to simplify working with those converted models in application code.
About coremltools
apple/coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
This tool helps mobile app developers take machine learning models trained in popular frameworks like TensorFlow, PyTorch, or scikit-learn and prepare them for use within iOS, iPadOS, macOS, tvOS, and watchOS applications. It converts these models into Apple's Core ML format, which enables on-device predictions and fine-tuning. The primary users are app developers integrating AI/ML features into their Apple ecosystem applications.
About CoreMLHelpers
hollance/CoreMLHelpers
Types and functions that make it a little easier to work with Core ML in Swift.
CoreMLHelpers simplifies common tasks for developers building machine learning features into Apple applications. It helps transform image data into the format Core ML models expect and convert model outputs back into usable images. This is for iOS/macOS developers integrating trained machine learning models into their Swift-based apps.
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