Python toolbox for sampling Determinantal Point Processes

Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

A Julia package for numerical computation in quantum information theory

Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.

Python library for Random Matrix Theory, cleaning schemes for correlation matrices, and portfolio optimization

A Library for Denoising Single-Cell Data with Random Matrix Theory

Parallel random matrix tools and complexity for deep learning

A Random Matrix Approach to Extreme Learning Machine

A clusterability measure for scRNA-seq data.

Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning

Generate the Tracy-Widom distribution functions for beta = 1, 2, or 4 in Python

A Random Matrix Approach for Least Squares SVM Analysis

A Random Matrix Approach for Random Feature Maps

A package for Random Matrix Theory

Random matrix theory of polarized light scattering in disordered media

Wishart,GOE and GUE

Random Graphs, Random Matrices, FK Dependent Categorical, Galton-Watson

This research work is about Limited Data Acquisition for the real life physical experiment of fluid flow across cylinder based on Kernelized Extended Dynamic Mode Decomposition by incorporating Gaussian Random Matrix Theory and Laplacian Kernel Function Hilbert space.

R package associated with paper "Component response rate variation underlies the stability of highly complex finite systems" (Duthie, AB. 2020. Sci. Rep. 10:8296, https://www.nature.com/articles/s41598-020-64401-w). This repository contains all manuscript text and supplemental information, and all code for recreating analyses.