neon

Parsing gigabytes of JSON per second

TypeScript ORM that feels like writing SQL

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

A framework for building compiled Node.js add-ons in Rust via Node-API

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

Performance-portable, length-agnostic SIMD with runtime dispatch

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

Implementations of SIMD instruction sets for systems which don't natively support them.

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM.

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

📽 Highly Optimized Graphics Math (glm) for C

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

SIMD Vector Classes for C++

Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations

Fast and exact implementation of the C++ from_chars functions for float and double types: 4x to 10x faster than strtod, part of GCC 12 and WebKit/Safari

Portable header-only C++ low level SIMD library

Fast inference engine for Transformer models

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

🍸 Encodes and decodes NEON file format.

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