Julia code for the book Numerical Linear Algebra
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Updated
Jan 23, 2023 - Jupyter Notebook
Julia code for the book Numerical Linear Algebra
Linear Algebra Fundamentals for Machine Learning
Differentiable matrix factorizations using ImplicitDifferentiation.jl.
This repository contains the implementations of the MUSIC and ESPRIT algorithms, which can be used for super-resolution spectral analysis.
ECCV22 Paper "Batch-efficient EigenDecomposition for Small and Medium Matrices"
ECCV22 "Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality" and T-PAMI extension
Jupyter notebooks with notes, code, and exercises from Linear Algebra: Theory, Intuition, Code by Mike X Cohen (2021).
Faster eigendecompositions for jax
Statistical Shape Model using PCA on standard 2D hand dataset
Official code repository for "Distribution-Independent Confidence Intervals for the Eigendecomposition of Covariance Matrices via the Eigenvalue-Eigenvector Identity" (ICML 2021 Workshop on Distribution-Free Uncertainty Quantification).
A Step-by-step tutorial to implement PCA.
A matlab tool that analytically calculates the transient Electromigration (EM) stress at discrete spatial points in multi-segment lines of power grids.
practical linear algebra for data science (with python)
Application of PCA in facial recognition
Implementation of a Speaker Recognition Algorithm using MFCC, FFT, and Eigendecomposition from voice samples
Project from university for the class Computational Linear Algebra for Large Scale Problem, focused on the application of matrix decomposition via eigenvalues and eigenvector to replicate the Google PageRank algorithm
Linear solvers and eigendecomposition for AWS Trainium via NKI (cuSOLVER-equivalent) — Jacobi eigh, Cholesky/LU/QR factorizations, CG/GMRES iterative solvers, Newton-Schulz inverse square root.
Mini-course for Elizabeth Liu
Quantum Boltzmann Machine (QBM). Hamiltonijan. Gibbs-state. Born distribucija. Spektralna eigendekompozicija. Transverzalno-Ising forma. Termalni kvantni model.
This repository is being used as the final project of the course MTH234: Linear Algebra, with having Asst.Prof. Songpon Sriwongsa
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