CUDA Templates and Python DSLs for High-Performance Linear Algebra
- cuda
- deep-learning
- deep-learning-library
- cpp
58,632 visible repositories in the index
1–17 of 17 · Most stars
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Javascript Matrix and Vector library for High Performance WebGL apps
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.
BLAS-like Library Instantiation Software Framework
Fast Clojure Matrix Library
A lightweight high performance tensor algebra framework for modern C++
V library to develop Artificial Intelligence and High-Performance Scientific Computations
A performance oriented 2D/3D math package for Go
Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/
CEED Library: Code for Efficient Extensible Discretizations
Fast Math Library for Delphi
A framework for high-performance domain decomposition methods.
An Elixir library for performing 2D and 3D mathematics.
A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.
Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)
Object-Based mathematical operations in VBA
go-glmatrix is a golang version of glMatrix, which is "designed to perform vector and matrix operations stupidly fast".