MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

C++ image processing and machine learning library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.

SIMD Vector Classes for C++

Portable header-only C++ low level SIMD library

C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, NEON, AVX512)

DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps

📽 Highly Optimized Graphics Math (glm) for C

Native Go version of HighwayHash with optimized assembly implementations on Intel and ARM. Able to process over 10 GB/sec on a single core on Intel CPUs - https://en.wikipedia.org/wiki/HighwayHash

🍸 Encodes and decodes NEON file format.

C++ SIMD Noise Library

🍬 A dark and modern theme for firefox with vibrant colors

SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT

Boost SIMD

MIPP is a portable wrapper for SIMD instructions written in C++11. It supports NEON, SSE, AVX and AVX-512.

🚀 Fast C/C++ bit population count library

std::experimental::simd for GCC [ISO/IEC TS 19570:2018]

A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation

A collection of examples of Neon

JeVois smart machine vision framework

Math library using hlsl syntax with SSE/NEON support

SIMD (SWAR/SSE/SSE4/AVX2/AVX512F/ARM Neon) of Karp-Rabin algorithm's modification

Base64 coding and decoding with SIMD instructions (SSE/AVX2/AVX512F/AVX512BW/AVX512VBMI/ARM Neon)

Agenium Scale vectorization library for CPUs and GPUs

Efficient monocular visual odometry for ground vehicles on ARM processors

Turbo Base64 - Fastest Base64 SIMD/Neon/Altivec

BLAKE3 hashing for JavaScript: native Node bindings (where available) and WebAssembly