1.NVIDIA / cutlass
CUDA Templates and Python DSLs for High-Performance Linear Algebra
- cuda
- deep-learning
- deep-learning-library
- cpp
- nvidia
- gpu
- +1 more
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16 repositories by Attention Score · May 8, 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.
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
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...
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 📐
LAPACK development repository
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DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
Owl - OCaml Scientific Computing @ https://ocaml.xyz
a lean linear math library, aimed at graphics programming. Supports vec3, vec4, mat4x4 and quaternions
linalg.h is a single header, public domain, short vector math library for C++
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
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