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Search results for linear algebra eigenvectors
eigenvectors
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linear-algebra
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14 search results found
Linear Algebra With Python
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2,160
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Gosl
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1,791
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
Lapack
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1,336
LAPACK development repository
Vsl
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311
V library to develop Artificial Intelligence and High-Performance Scientific Computations
Mathematics For Machine Learning Coursera
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201
quizzes/assignments for mathematics for machine learning specialization on coursera
Sparse Linear Algebra
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80
Numerical computation in native Haskell
Russell
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53
Rust Scientific Libary. Matrix-vector laboratory, OpenBLAS, sparse direct solvers.
Arnoldimethod.jl
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45
Implicitly Restarted Arnoldi Method, natively in Julia
Genericschur.jl
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24
Julia package for Schur decomposition of matrices with generic element types
Linalg
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20
A linear algebra library that provides a user-friendly interface to several BLAS and LAPACK routines.
Pagerank
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18
A demonstration of the PageRank algorithm, using Eigenvectors to assign significance to HTML pages
Jacobi_pd
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17
a short, simple public-domain header-only C++ library for calculating eigenvalues and eigenvectors of real symmetric matrices
Fortran Lapack
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17
Modularized Fortran LAPACK implementation
Coursera Imperial College Of London Mathematics For Machine Learning Specialization
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16
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth
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