Python package that implements Eigenfaces to build a face recognition database. It supports interaction with the webcam.
-
Updated
Jun 17, 2024 - Python
Python package that implements Eigenfaces to build a face recognition database. It supports interaction with the webcam.
This project is created for learning the real world application of linear algebra which contains some core concepts like determinants, matrix, eigen-value, eigen-vector, etc to create a real-world application like steganography, grafh-theory, analysis of spread of disease, image processing, cryptography etc. This can have small bugs like excepti…
TuBes Algeo02 2022/2023 🛩
Official code for NeurIPS 2024 paper "A Canonicalization Perspective on Invariant and Equivariant Learning".
A Lightweight Implementation of Eigenfaces for Facial Recognition
Linear Algebra using Python
Face Recognition using method of Eigenfaces
A tool for generating, visualizing, and manipulating graphs with a focus on optimizing algebraic connectivity through Laplacian eigenvector-based augmentation thereby exploring what makes a graph or network connected.
Official code for NeurIPS 2024 paper "A Canonicalization Perspective on Invariant and Equivariant Learning".
My first research paper
Official implementation of the paper "FedLSF: Federated Local Graph Learning via Specformers"
Solving problems from the course on the basics of computational physics
calculate eigenvalues and eigenvectors for a 3x3 matrix and eigenvalues for a 2x2 matrix
Laboratory Work Numerical Analysis nr.3 at TUM. Mainly, this laboratory work was dedicated to Numerical Root Finding Methods for Systems of Linear Equations, Eigenvalues and Eigenvectors, Numerical Methods for ODEs, and consists of 3 tasks that I have done.
Solves a handful of regular math problems
This gives steady state Network Flow from the given Pref-Defined Network Flow of a System. And a Python implementation of Larry Page's famous PageRank algorithm.
Code to the paper: A First Approach to Quantum Logical Shape Classification Framework
PCA using numpy. I have taken small dataset , it will be more helpful in large dataset
Add a description, image, and links to the eigenvectors topic page so that developers can more easily learn about it.
To associate your repository with the eigenvectors topic, visit your repo's landing page and select "manage topics."