Go scientific library for machine learning, linear algebra, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, graph, plotting, visualisation, tensors, eigenvalues, differential equations, more.

A header-only C++ library for large scale eigenvalue problems

quizzes/assignments for mathematics for machine learning specialization on coursera

A C++ library for solving second-quantized Hamiltonians

Numerical computation in native Haskell

Krylov methods for linear problems, eigenvalues, singular values and matrix functions

PReconditioned Iterative MultiMethod Eigensolver for solving symmetric/Hermitian eigenvalue problems and singular value problems

PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.

R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems

Nonlinear eigenvalue problems in Julia: Iterative methods and benchmarks

Implicitly Restarted Arnoldi Method, natively in Julia

Autodiff is a numerical library for the Go programming language. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics and supports automatic differentiation

Pure Python implementation of the finite difference frequency domain (FDFD) method for electromagnetics

C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators

Project Page of Synthesizing Normalized Faces From Facial Identity Features - [CVPR 2017]

A demonstration of the PageRank algorithm, using Eigenvectors to assign significance to HTML pages

A wrapper of different indices and networks commonly used in Economic Complexity

JS ND-Arrays inspired by NumPy.

Full loss Hessian spectrum approximation tool.

Solving the Trust Region Subproblem as an Eigenproblem in Julia

Davidson eigensolver implemented in Fortran

A linear algebra library that provides a user-friendly interface to several BLAS and LAPACK routines.

A Task-based Library for Solving Dense Nonsymmetric Eigenvalue Problems

The main goal of StDoG is to provide a package which can be used to study dynamical and structural properties (like spectra) on graphs with a large number of vertices.

Matrix pencil manipulations using Julia

eMaTe can estimate the spectral density and trace functions even in matrices or graphs (undirected or directed) with million of nodes. (kernel polynomial method and SLQ)

Julia package for Schur decomposition of matrices with generic element types

symmetric matrices algorithms to compute eigenvalue/eigenvector pairs

java numerical library for Matrix, Integrals (numerical integration), derivatives (numerical differentiation), equations, ODE, polynomials, etc