#Blas
Showing 18 of 18 repositories tagged #blas, ranked by stars
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Python interface to GPU-powered libraries
Library for specialized dense and sparse matrix operations, and deep learning primitives.
Linear algebra in TypeScript.
🤖 A portable, header-only, artificial neural network library written in C99
oj! Algorithms
🚀🚀🚀 This repository lists some awesome public CUDA, cuda-python, cuBLAS, cuDNN, CUTLASS, TensorRT, TensorRT-LLM, Triton, TVM, MLIR, PTX and High Performance Computing (HPC) projects.
Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.
[DEPRECATED] Moved to ROCm/rocm-libraries repo
💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
High-performance C++ tensor library with NumPy/PyTorch-like API
Redistribute Intel MKL as a crate
Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
High level linear algebra library for Dlang
A LAPACK implementation for Go [DEPRECATED]
A #[no_std] LinAlg library
Yet another neural network library
OxiBLAS is a production-grade, pure Rust implementation of BLAS (Basic Linear Algebra Subprograms) and LAPACK (Linear Algebra PACKage). Designed as the foundational linear algebra library for the SciRS2 scientific computing ecosystem.