Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks

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

Headless TypeScript ORM with a head. Runs on Node, Bun and Deno. Lives on the Edge and yes, it's a JavaScript ORM too 😅

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM.

Learn Modern Full Stack Web 2 and Web 3 Development using Typescript, Next.js 13 Apps, Tailwind CSS, Shadcn UI, Neon, Drizzle ORM, and Sanity

Performance-portable, length-agnostic SIMD with runtime dispatch

Fast inference engine for Transformer models

Production-grade Turborepo template for Next.js apps.

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

Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations: used by Apache Doris, ClickHouse, and StarRocks

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

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

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

📽 Highly Optimized 2D / 3D Graphics Math (glm) for C

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

SIMD Vector Classes for C++

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

SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT