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. 🐙🌟