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<title>ANEForge demos</title>
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<div class="wrap">
<header>
<h1>ANEForge demos</h1>
<p class="tag">Computation on the Apple Neural Engine, without CoreML. Every animation below is
recorded from a runnable example whose math executes on the engine.</p>
<p class="links">
<a target="_blank" rel="noopener" href="https://github.com/sbryngelson/ANEForge">GitHub</a>
<a target="_blank" rel="noopener" href="https://pypi.org/project/aneforge/">PyPI</a>
<a target="_blank" rel="noopener" href="https://huggingface.co/aneforge">Hub org</a>
<a target="_blank" rel="noopener" href="https://huggingface.co/datasets/aneforge/ane-rooflines">Rooflines dataset</a>
<a target="_blank" rel="noopener" href="https://arxiv.org/abs/2606.17090">Paper</a>
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<figure>
<img src="fluid_vorticity.webp" alt="2-D incompressible fluid winding the word ANEForge into filaments" loading="lazy" />
<figcaption><b>Fluid vorticity</b><span>2-D incompressible Navier-Stokes: the word "ANEForge" is
painted as dye and wound into filaments. Every FFT in the 2,200-step pseudo-spectral loop runs on the ANE.</span></figcaption>
</figure>
<figure>
<img src="reaction_diffusion.webp" alt="Gray-Scott reaction-diffusion pattern" loading="lazy" />
<figcaption><b>Reaction-diffusion</b><span>A Gray-Scott system stepped on the engine &mdash; the
real-space companion to the fluid demo.</span></figcaption>
</figure>
<figure>
<img src="demo.png" alt="Character transformer trained on the ANE generating text" loading="lazy" />
<figcaption><b>On-engine training</b><span>A small char transformer trains end to end on the ANE
(forward + backward + Adam), then generates text one character per on-engine forward pass.</span></figcaption>
</figure>
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<p class="note">The Apple Neural Engine only exists on Apple Silicon, so these run on your own Mac
&mdash; <code>pip install aneforge</code> &mdash; not on this page.</p>
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