39 Open source projects that are alternatives of or similar to Rocblas

THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen

oneAPI Math Kernel Library (oneMKL) Interfaces

Basic linear algebra subroutines for embedded optimization

Kokkos C++ Performance Portability Programming EcoSystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

BLAS extension to xtensor

OCaml bindings for BLAS/LAPACK (high-performance linear algebra Fortran libraries)

A compile-time linear algebra system for C++

Yet another neural network library

BLAS-like Library Instantiation Software Framework

A fast vector/matrix library

Python interface to GPU-powered libraries

Linear algebra in TypeScript.

Tuned OpenCL BLAS

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

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

Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

A fast and easy to use linear algebra library written in Java for dense, sparse, real, and complex matrices.

trying to collect all useful tutorials for famous C math and linear algebra libraries such as CBLAS, CLAPACK, GSL...

Benchmark MATLAB & Julia for Matrix Operations

.NET bindings for native numerical computing

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

Timing results for BLAS (Basic Linear Algebra Subprograms) libraries in R

Single file libraries for C/C++

DBCSR: Distributed Block Compressed Sparse Row matrix library

A #[no_std] LinAlg library

Scala Native BLAS (Basic Linear Algebra Subprograms) supporting Linux and macOS

Análisis numérico y cómputo científico

Fused Matrix Library

Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

[Experimental] LLVM-accelerated Generic Linear Algebra Subprograms

Modern Fortran Interfaces to BLAS and LAPACK

Redistribute Intel MKL as a crate

High level linear algebra library for Dlang

Sparse matrix formats for linear algebra supporting scientific and machine learning applications

Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.

Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

Mir (backports): Sparse tensors, Hoffman

The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

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