mrousavy/react-native-fast-tflite
🧬 High-performance TensorFlow Lite library for React Native with GPU acceleration
This library allows developers to integrate high-performance machine learning models directly into their React Native mobile applications. It takes TensorFlow Lite (`.tflite`) model files as input and uses them to process raw data (like image buffers from a camera) to produce structured outputs, such as object detection bounding boxes or classification scores. Mobile app developers who want to embed on-device AI capabilities without relying on cloud services would find this useful.
1,124 stars. Actively maintained with 9 commits in the last 30 days.
Use this if you are a React Native developer building a mobile app that needs to run TensorFlow Lite machine learning models efficiently on-device, potentially with GPU acceleration, and integrate seamlessly with camera streams.
Not ideal if you are not a React Native developer, or if your application requires training models on the device rather than just running pre-trained ones.
Stars
1,124
Forks
85
Language
C++
License
MIT
Category
Last pushed
Mar 19, 2026
Commits (30d)
9
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