Pure C#/.NET YOLO inference: SIMD CPU, Vulkan/Metal GPU, direct .pt and ONNX; detection, segmentation and pose.
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
ncnn is a high-performance neural network inference framework optimized for the mobile platform
A vector index built on TurboQuant, written in Rust with Python bindings
John the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs
A blazingly fast JSON serializing & deserializing library
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
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Performance-portable, length-agnostic SIMD with runtime dispatch
Zero allocation LINQ with LINQ to Span, LINQ to SIMD, and LINQ to Tree (FileSystem, JSON, GameObject, etc.) for all .NET platforms and Unity, Godot.
Fast Open-Source Search & Clustering engine ร for Vectors & Arbitrary Objects ร in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram ๐
C++ tensors with broadcasting and lazy computing
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops ๐ฆ
A very fast SIMD-first image comparison library (with nodejs API)
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.
Intelยฎ Implicit SPMD Program Compiler
C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE, WebAssembly, VSX, RISC-V))
High-efficiency floating-point neural network inference operators for mobile, server, and Web
https://h265web.com ๐ฅ ไฝ่ ๏ผๅธธ็้(Author: ChangYanlong):HEVC/H.265 ็ฝ้กต็ดๆญ/็นๆญๆญๆพๅจ ๆฏๆ็กฌ่งฃ๏ผ ๆฏๆH.265็HttpFLV/HLS/MP4/TS/FLV/M3U8/Websocket/WebRTC/VR360ๆญๆพใ ๐ฅ A HEVC/H.265 Web Player, Support hard-decoding! for LIVE/VOD stream. Support H.265 Codec with HttpFLV/HLS/MP4/TS/FLV/M3U8/Websocket/WebRTC/VR360.
A generic satellite data processing software.
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
Fast and exact implementation of the C++ from_chars functions for number types: 4x to 10x faster than strtod, part of GCC 12, MySQL, DuckDB, Chromium, Redis and WebKit/Safari
Inference Llama 2 in one file of pure ๐ฅ
A simple and fast linear algebra library for games and graphics
Unicode routines (UTF8, UTF16, UTF32) and Base64: billions of characters per second using SSE2, AVX2, NEON, AVX-512, RISC-V Vector Extension, LoongArch64, POWER. Part of Node.js, WebKit/Safari, Ladybird, Chromium, Cloudflare Workers, Ghostty and Bun.
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON, RISC-V RVV)
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types โ from 6-bit floats to 64-bit complex โ across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go ๐
Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations: used by Apache Doris, ClickHouse, Alibaba Tair, Redpanda, YDB and StarRocks
WHATWG-compliant and fast URL parser written in modern C++, part of Internet Archive, Node.js, Clickhouse, Redpanda, Kong, Telegram, Adguard, Datadog and Cloudflare Workers.
DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.
A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
World's Fastest .NET CSV Parser. Modern, minimal, fast, zero allocation, reading and writing of separated values (`csv`, `tsv` etc.). Cross-platform, trimmable and AOT/NativeAOT compatible with blazing fast SIMD vectorized parsing.
Modular node graph based noise generation library using SIMD, C++17 and templates
Rust port of simdjson
Expressive Vector Engine - SIMD in C++ Goes Brrrr
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
Math library using HLSL syntax with multiplatform SIMD support
Unsafely fast hashing algorithm ๐
C++ template library for high performance SIMD based sorting algorithms
Fast Base64 stream encoder/decoder in C99, with SIMD acceleration
Library for specialized dense and sparse matrix operations, and deep learning primitives.
A fast JSON serializing & deserializing library, accelerated by SIMD.
The FastPFOR C++ library: Fast integer compression
A fast Rust JSON library based on SIMD.
Fastest Integer Compression
Realtime Math
Macro(s) for vectorizing loops.
Rust's standard library vendor-specific APIs and run-time feature detection
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The fastest binary serializer for C#. Source-generated, zero-allocation: services, RPC, messaging, caching, storage, Unity and Godot.
Remote protein homology detection suite.
The fastest Direct2D-powered image viewer for Windows. Features multi-threaded JXL/AVIF decoding, GPU acceleration, and a borderless geek UI. Supports WebP, RAW, & QOI with visual settings and auto-updates. Portable & SIMD-optimized.
A modern C++17/C++20 glTF 2.0 library focused on speed, correctness, and usability
A crate to help you go wide. By which I mean use SIMD stuff.
Portable wrapper for SIMD and vector instructions written in C++11. Compatible with NEON, SSE, AVX, AVX-512 and SVE (length specific).
C++11 multiplatform utility library
็บฏ C# PP-OCRv6 ๆจ็ๅบ๏ผๅคๅนณๅฐๆๅ Kernel / GEMM ็ญ็ฎๅญใ่ถ ้ซๆง่ฝใไฝๅ ๅญ้ๆฑใ่ถ ้ซๅ็กฎ็ใ ่ชๅธฆๆ็ฎก ONNX ่งฃ้ๅจ๏ผไธไพ่ต Paddle InferenceใONNX Runtime ๆ OpenCV ๅ็ๅบใ
37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.