mattn/zig-tflite
Zig binding for TensorFlow Lite
This is a low-level tool that helps Zig programmers integrate pre-trained machine learning models (specifically, TensorFlow Lite models) into their Zig applications. It takes a TFLite model file and allows the Zig application to feed data into it and get predictions or classifications out. It's used by Zig developers who need to embed AI capabilities directly into their applications, often for edge devices or performance-critical systems.
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Use this if you are a Zig developer and need to incorporate TensorFlow Lite machine learning models directly into your Zig-based applications.
Not ideal if you are not a Zig programmer or if you need to train machine learning models rather than just run existing ones.
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Last pushed
Nov 04, 2022
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