Linear Algebra for Computer Vision & Deep Learning
Linear Algebra for Computer Vision & Deep Learning
A comprehensive library and educational resource for linear algebra concepts and applications in computer vision and deep learning.
Features
- Core Linear Algebra: Matrices, vectors, eigenvalues, decompositions
- Computer Vision Applications: Homography, transformation matrices, camera calibration
- Deep Learning Tools: Layer operations, backpropagation mathematics, optimization
- Educational Resources: Tutorials, examples, and visualizations
- Production Ready: Tested, optimized implementations
Member of Miscellaneous Projects Portfolio
This project is part of the Miscellaneous Projects Portfolio - a collection of experimental and educational tools.
Getting Started
Technologies
- Python
- NumPy / SciPy
- Computer Vision algorithms
- Machine Learning frameworks
Status: Active Development
Last Updated: April 2026