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Linear Algebra With Python ⭐ 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.

Spectra ⭐ 687

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

Machine Learning For Asset Managers ⭐ 334

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

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

Sparse Linear Algebra ⭐ 80

Numerical computation in native Haskell

Rspectra ⭐ 64

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

Autodiff ⭐ 34

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

Economiccomplexity ⭐ 31

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

Eigenvalues ⭐ 19

symmetric matrices algorithms to compute eigenvalue/eigenvector pairs

CVM Class Library

GMRES algorithm implementation for the numerical solution of an indefinite non-symmetric system of linear equations.

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