coremltools
Apple’s Python utilities to convert, compress, and validate models for Core ML deployment on Apple devices.
Why it is included
Indexed on TAAFT’s machine-learning repositories as the BSD-licensed bridge from PyTorch/TF to Core ML.
Best for
iOS/macOS teams shipping on-device ML converted from mainstream training frameworks.
Strengths
- Official Apple path
- Quantization options
- Wide converter coverage
Limitations
- Apple-platform scope; some ops need custom implementations
Good alternatives
ONNX → Core ML paths · ExecuTorch
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