NumPy & SciPy for GPU
- cuda
- cudnn
- cublas
- cusolver
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1–11 of 11 · Most stars
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
- blas
- lapack
- lapacke
BLAS-like Library Instantiation Software Framework
- blis
- blas
- blas-libraries
- linear-algebra
LAPACK development repository
- linear-algebra
- lapack
- blas
- lapacke
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 📐
A lightweight high performance tensor algebra framework for modern C++
- tensors
- tensor-contraction
- multidimensional-arrays
- simd
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
V library to develop Artificial Intelligence and High-Performance Scientific Computations
- v
- hacktoberfest
- linear-algebra
- optimization
Mir (backports): Sparse tensors, Hoffman
- mir
- glas
- blas
- mir-glas
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
- go
- golang
- matrix
- scientific-computing
MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.