Parallel random matrix tools and complexity for deep learning
-
Updated
Feb 10, 2024 - Jupyter Notebook
Parallel random matrix tools and complexity for deep learning
Random matrix theory of polarized light scattering in disordered media
simply create random matrices.
Python scripts from paper Optimal cleaning for singular values of cross-covariance matrices, by Florent Benaych-Georges, Jean-Philippe Bouchaud, Marc Potters (see https://arxiv.org/abs/1901.05543)
The random matrix gallery is a curated display of classes of random matrices where the eigenvalue spectrum is known. Each image in the gallery below links to a dedicated python notebook where you can vary the parameters and explore the effect on the resulting spectrum.
Source code for reproducing free random projection
Regression on LUE eigenvalues
Explore the "frp_rl" repository to discover the Free Random Projection technique for in-context reinforcement learning. This project offers a JAX-based implementation that helps agents adapt and learn in diverse environments. 🐙🌟
Add a description, image, and links to the random-matrices topic page so that developers can more easily learn about it.
To associate your repository with the random-matrices topic, visit your repo's landing page and select "manage topics."