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)

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. 🐙🌟

This repository offers a clear implementation of Free Random Projection for in-context reinforcement learning, focusing on effective adaptation and robust representation. Explore the core algorithms in the `frp_popjaxrl/` directory and enhance your understanding of meta-learning across diverse environments. 🐙✨

This repository, "frp_rl," implements Free Random Projection for in-context reinforcement learning, allowing agents to adapt seamlessly to new tasks. Explore the core components and algorithms to enhance your meta-learning experience! 🐙🌟