展示HN：Hsdlib – 一款带有SIMD加速的向量相似性C库
Hsdlib是一个小型C库，用于快速计算向量之间的距离和相似性。<p>目前，它支持：<p><pre><code> - 欧几里得距离、曼哈顿距离和汉明距离
- 点积、余弦相似度和杰卡德相似度
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Hsdlib使用SIMD加速（AVX、AVX2、AVX512、NEON和SVE指令）来提高计算速度。<p>GitHub链接：<a href="https://github.com/habedi/hsdlib">https://github.com/habedi/hsdlib</a>
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Hsdlib is a small C library for fast vector distance and similarity calculations.<p>At the moment, it supports:<p><pre><code> - Euclidean, Manhattan, and Hamming distances
- Dot product, cosine, and Jaccard similarities
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Hsdlib uses SIMD acceleration (AVX, AVX2, AVX512, NEON, and SVE instructions) to speed things up.<p>GitHub link: <a href="https://github.com/habedi/hsdlib">https://github.com/habedi/hsdlib</a>