”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正
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...
Statistical Machine Intelligence & Learning Engine
A library for visualization and creative-coding
Linear algebra library for Rust.
BLAS-like Library Instantiation Software Framework
CUDA Library Samples
LAPACK development repository
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Fortran Standard Library
Owl - OCaml Scientific Computing @ https://ocaml.xyz
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Scientific and statistical computing in JavaScript.
线性代数:未竟之美
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
FLINT (Fast Library for Number Theory)
Numerical linear algebra software package
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
Armadillo: fast C++ library for linear algebra (matrix maths) & scientific computing
⟨Grassmann-Clifford-Hodge⟩ differential geometric algebra
Pure Java LP, QP and MIP solvers plus fast linear algebra. Zero dependencies, MIT licensed. Mathematical optimization and linear algebra for the JVM.
A Julia Basket of Hand-Picked Krylov Methods
Source files for the book "Enoch's Notebook: An Introduction to Linear Algebra"
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The math of AI, drawn and coded. A free, visual-first linear algebra course following MIT 18.06.