OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

BLAS-like Library Instantiation Software Framework

Llama 2 Everywhere (L2E)

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐

🤖 A portable, header-only, artificial neural network library written in C99

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

Single file libraries for C/C++

Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.

libdspl-2.0 is opensource cross-platform digital signal processing algorithm library, written in C language.

Using PLT trampolines to provide a BLAS and LAPACK demuxing library.

A sparse BLAS lib supporting multiple backends

The repository targets the OpenCL gemm function performance optimization. It compares several libraries clBLAS, clBLAST, MIOpenGemm, Intel MKL(CPU) and cuBLAS(CUDA) on different matrix sizes/vendor's hardwares/OS. Out-of-the-box easy as MSVC, MinGW, Linux(CentOS) x86_64 binary provided. 在不同矩阵大小/硬件/操作系统下比较几个BLAS库的sgemm函数性能，提供binary，开盒即用。

A library for Erlang/OTP (and Elixir language) of numerical routines on single and double-precision real and complex number vectors and matrices

C computation graph, AutoGrad with OpenCL support [WIP]

A small, header-only, fast C shared library with ML/nonparametrix algorithms for researchers and developers

Examples of using OpenMP offload with dgemm in the target region

phiGEMM: CPU-GPU hybrid matrix-matrix multiplication library

Matrix algebra package

Randomized Extended Kaczmarz (C)