mrousavy/react-native-fast-tflite
A React Native binding for TensorFlow Lite that runs ML models on-device with GPU acceleration via CoreML, Metal, and OpenGL delegates.
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react-native-fast-tflite is a high-performance library that wraps the low-level TensorFlow Lite C/C++ API for React Native applications. It enables zero-copy ArrayBuffer access and GPU-accelerated inference through platform-specific delegates including CoreML, Metal, and OpenGL. The library allows developers to load .tflite model files at runtime and swap models without rebuilding the app, integrating with VisionCamera for real-time computer vision tasks.
Frequently asked
- What is mrousavy/react-native-fast-tflite?
- A React Native binding for TensorFlow Lite that runs ML models on-device with GPU acceleration via CoreML, Metal, and OpenGL delegates.
- Is react-native-fast-tflite open source?
- Yes — mrousavy/react-native-fast-tflite is open source, released under the MIT license.
- What language is react-native-fast-tflite written in?
- mrousavy/react-native-fast-tflite is primarily written in TypeScript.
- How popular is react-native-fast-tflite?
- mrousavy/react-native-fast-tflite has 1.2k stars on GitHub.
- Where can I find react-native-fast-tflite?
- mrousavy/react-native-fast-tflite is on GitHub at https://github.com/mrousavy/react-native-fast-tflite.