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https://github.com/ashvardanian/simsimd • Rank 25.6 • Science 26%

Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 📐

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kernel_float • Science 26%

CUDA/HIP header-only library for low-precision (16 bit, 8 bit) and vectorized GPU kernel development

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pagerank-datatype • Science 41%

Comparison of PageRank algorithm using various datatypes.

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vector-sum • Science 41%

Comparison of vector element sum using various data types.