SIMD polyfill
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
SIMD crc32
RuvLLM native SIMD acceleration - linux-x64-gnu platform
WASM based SIMD vector operations for batch processing
Semantic router for AI agents - vector-based intent matching with HNSW indexing and SIMD acceleration
RuvLLM native SIMD acceleration - win32-x64-msvc (Windows) platform
RuvLLM native SIMD acceleration - darwin-arm64 (Apple Silicon) platform
Minimal Argon2 WebAssembly SIMD build
The pure JavaScript BLAKE3 implementation with runtime WASM SIMD
The only JSON library you'll need for AssemblyScript with SIMD and SWAR
OBSOLETE: See `core::simd` instead.
Safer and easier SIMD
High-performance SIMD utilities for fast table lookups, compression and data processing
SIMD-optimized append-only schema-less storage engine. Key-based binary storage in a single-file storage container.
SIMD backends for gmcrypto-core — AVX2 (x86_64) and NEON (aarch64) packed bitsliced SM4 S-box, quarantined to keep `gmcrypto-core` `unsafe_code = forbid`
Explicit SIMD for humans
Safely invoke your intrinsic power, using the tokens granted to you by the CPU. Cast primitive magics faster than any mage alive.
Core BitNet implementation with fundamental data structures and algorithms
An extremely fast, SIMD accelerated, encoding and decoding library for CESU-8 and Modified UTF-8.
High-performance hex encoding and decoding with zero allocations, no_std support and SIMD acceleration
Specialized Rust CSV readers/writers leveraging SIMD instructions.
High performance JSON parser based on a port of simdjson
Access to SIMD (Single Instruction Multiple Data) instructions in Ruby
A SIMD-optimized replacement for Ruby's String#length method for x86_64 architectures
SIMD for Ruby
VectorSse employs x86 Streaming SIMD Extensions (SSE), v3 or greater, to accelerate basic vector and matrix computations in Ruby.
A drop-in replacement for Ruby's CSV stdlib that uses zsv (SIMD-accelerated C library) for 5-6x faster CSV parsing
SIMD-accelerated CSV parser - drop-in replacement for Ruby's CSV library. Uses NEON on ARM64 and AVX2 on x86_64 for 2-6x faster parsing. Full API compatibility with CSV::Row, CSV::Table, converters, and all options.
A fast Base64 encoder and decoder that makes use of SIMD extensions.
Fast computation of descriptive statistics in ruby using native code and SIMD
GRX brings PyTorch-style tensor operations to Ruby. Every arithmetic op, activation, and optimizer step runs through a native C library compiled with AVX2+FMA SIMD. Ruby is the interface — C does the work. Features: autograd, SGD/Adam optimizers, Linear/Sequential/Dropout/BatchNorm layers, MSE/BCE/CrossEntropy loss functions, Xavier and He weight init. Cross-platform: .so on Linux, .dylib on macOS, .dll on Windows.
Rails assets wrapper for https://github.com/mycolorway/simditor
This gem provides bindings to the Yeppp! library. According to the documentation, "Yeppp! is a high-performance SIMD-optimized mathematical library for x86, ARM, and MIPS processors on Windows, Android, Mac OS X, and GNU/Linux systems."
simdjson gem is a binding to use simdjson, which is a Lemire's fast JSON parser.
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