1.NVIDIA / cutlass
CUDA Templates and Python DSLs for High-Performance Linear Algebra
- cuda
- deep-learning
- deep-learning-library
- cpp
- nvidia
- gpu
- +1 more
Ranked by Attention Score: stars gained over the last 7 complete days
11 repositories by Attention Score · Oct 28, 2026 – Nov 3, 2026 (UTC)
CUDA Templates and Python DSLs for High-Performance Linear Algebra
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
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 📐
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
LAPACK development repository
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
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.