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AI training in Apple Neural Engine

Developed by Maderix, ANE allows neural network training to be performed on the Apple Neural Engine through private application programming interfaces (private APIs) obtained by reverse engineering. This study makes it possible to directly use Apple hardware in artificial intelligence model training processes.

What you get

  • Direct neural network training on Apple hardware
  • Bypassing hardware restrictions with custom APIs
  • Low latency dynamic workflow

Getting started

This project is a research study that aims to train neural networks directly on Apple hardware. By downloading the project files from the official repository on GitHub to your computer, you can examine how the special APIs obtained by reverse engineering are used and conduct your own experiments.

Related dictionary terms

Who it is forIt is for software developers who want to dive deeper into Apple hardware and do research on neural network training and hardware acceleration.
LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-30: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.