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Auburns avatar

Auburns/FastNoiseSIMDArchived

0
View on GitHub↗
633 stars·89 forks·C++·MIT·8 views

FastNoiseSIMD

C++ SIMD Noise Library

Features

  • Mathematical Libraries - SIMD-accelerated noise generation.

Star history

Star history chart for auburns/fastnoisesimdStar history chart for auburns/fastnoisesimd

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does auburns/fastnoisesimd do?

C++ SIMD Noise Library

What are the main features of auburns/fastnoisesimd?

The main features of auburns/fastnoisesimd are: Mathematical Libraries.

What are some open-source alternatives to auburns/fastnoisesimd?

Open-source alternatives to auburns/fastnoisesimd include: auto-differentiation/xad — Fast, easy automatic differentiation in C++. autodiff/autodiff — automatic differentiation made easier for C++. b-k/apophenia — A C library for statistical and scientific computing. boostorg/multiprecision — Boost.Multiprecision. brunolevy/geogram — a programming library with geometric algorithms. ashvardanian/numkong — SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit…

Open-source alternatives to FastNoiseSIMD

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  • ashvardanian/numkongashvardanian avatar

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    SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

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