CUDA Templates and Python DSLs for High-Performance Linear Algebra
- cuda
- deep-learning
- deep-learning-library
- cpp
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CUDA Templates and Python DSLs for High-Performance Linear Algebra
BLAS-like Library Instantiation Software Framework
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
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 📐
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
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
CEED Library: Code for Efficient Extensible Discretizations
A simple cross platform .NET API for Intel MKL
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
A framework for high-performance domain decomposition methods.
An Elixir library for performing 2D and 3D mathematics.
👩💻 Matrix and other math, accelerated by WebGPU and WASM