axiom-ios-ml by CharlesWiltgen
Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/palettization/pruning), stateful models, KV-cache, multi-function models, async prediction, SpeechAnalyzer, SpeechTranscriber.
DevOps
238 Stars
16 Forks
Updated Jan 16, 2026, 03:16 PM
Why Use This
This skill provides specialized capabilities for CharlesWiltgen's codebase.
Use Cases
- Developing new features in the CharlesWiltgen repository
- Refactoring existing code to follow CharlesWiltgen standards
- Understanding and working with CharlesWiltgen's codebase structure
Install Guide
2 steps- 1
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License NOASSERTION