ention to MLPs 》</a>的实现。</p>
<h2><a href="vit/index.html">视觉 Transformer (ViT)</a></h2>
<p>这是论文<a href="https://arxiv.org/abs/2010.11929">《 An Image Is Worth 16x16 Words: Transformers For Image Recognition At Scale 》</a>的实现。</p>
<h2><a href="primer_ez/index.html">Primer</a></h2>
<p>这是论文<a href="https://arxiv.org/abs/2109.08668">《 Primer: Searching for Efficient Transformers for Language Modeling 》</a>的实现。</p>
<h2><a href="hour_glass/index.html">沙漏网