random-matrix-theory

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

Validated Python toolkit for quantum chaos in SYK and Hubbard models: symmetry-resolved level statistics vs random-matrix theory, spectral form factor, OTOCs, Krylov complexity, ETH, Floquet heating, sparse SYK up to N=34, noisy Trotter circuits with ZNE, and quantum-kernel concentration. Tested, reproducible, with honest limitations.

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

Open source code for ICML 2025 Paper: Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias

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

Parallel random matrix tools and complexity for deep learning

A clusterability measure for scRNA-seq data.

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

A Random Matrix Approach to Extreme Learning Machine

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

A Random Matrix Approach for Random Feature Maps

A Random Matrix Approach for Least Squares SVM Analysis

A package for Random Matrix Theory

Leymosun Science: Quantum Research Toolkit

Haarpy: a Python library for symbolic Weingarten calculus

Adèlic spectral frameworks for computational number theory: exploring exact discrete bounds for pattern avoidance via CP-SAT, and quantum-physical realizations of automorphic L-function zeros.