vector-spaces 开源项目推荐（13 个）

shantanu1109 /Coursera-DeepLearning.AI-Natural-Language-Processing-Specialization

本库包含了由Younes Bensouda Mourri、Łukasz Kaiser、Eddy Shyu教授的自然语言处理 Deeplearning.ai 专业作业解决方案，该课程由Younes Bensouda Mourri、Łukasz Kaiser和Eddy Shyu教授

homalg-project /CAP_project

CAP project -- Categories, Algorithms, and Programming

gitcordier /FunctionalAnalysis

Solutions to some exercises from Walter Rudin's Functional Analysis

cm-jones /cramer

A numerical linear algebra library for C++

rohaan2802 /Linear_Algebra

Linear Algebra (MT1004) course archive from FAST-NUCES: weekly lectures, topic handouts, video lectures, homework, solutions, notes, practice questions and reference books.

ericyoc /quantum_computation_refresher_poc

A comprehensive refresher on the fundamental concepts and principles of quantum computation

Abhishekc95 /abstract_math_fem

Math required for learning abstract Finite element method

Komal-phogat /linalg-regressor

An object-oriented linear regression engine built from scratch using vector-space projections with automated geometric diagnostics and a robust RANSAC outlier estimator.

Choroning /26Spring_Computer-Linear-Algebra

This repository archives bilingual lecture notes for a computer linear algebra course, covering vectors and matrices, linear equations, vector spaces and subspaces, orthogonality and least squares, determinants, eigenvalues, the singular value decomposition, linear transformations, and optimization based on Strang's Introduction to Linear Algebra.

annacollins7 /mathematical_methods_materials

Materials related to mathematical methods

MarwiVex /linear-algebra-cheatsheet

Comprehensive LaTeX cheatsheet for Linear Algebra (English / Español), covering matrices, vector spaces, factorizations, and the fundamental subspaces.

vishu-byte /Schrodinger-Equation-usinf-finite-difference-method-and-vector-spaces

Given Schrödinger equation is solved using finite difference method and eigenvalue problem. Any three eigenfunctions can be plotted.

dzhokn /linear-algebra

Vector Spaces, Linear Independence, Linear Transformations, Matrix Operations, Eigenvectors, Covariance Matrix, PCA, Kernel trick, Eigenfaces, Cluster Analysis