Python toolbox for sampling Determinantal Point Processes
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Updated
Aug 14, 2024 - Python
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 clusterability measure for scRNA-seq data.
A Random Matrix Approach to Extreme Learning Machine
Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning
A Random Matrix Approach for Least Squares SVM Analysis
Generate the Tracy-Widom distribution functions for beta = 1, 2, or 4 in Python
A Random Matrix Approach for Random Feature Maps
A package for Random Matrix Theory
Random matrix theory of polarized light scattering in disordered media
Minimal code and results from the paper 'Unveiling Order from Chaos by approximate 2-localization of random matrices'
Random Graphs, Random Matrices, FK Dependent Categorical, Galton-Watson
Memo's research works.
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