A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

Robust Orthonormal Subspace Learning in Python

Numerical Techniques (Matrix Decomposition, Matrix Equation Solvers, Inversion, Iterative Root Finding), All Implemented from scratch in Python

Fatoração de Matrizes para Sistemas de Classificação de Machine Learning

Cholesky decomposition for Hilbert matrix of any order in Python 3 (Two programs)

Example of an estimation of cell-type proportions using reference-free method (RefFreeEWAS)

A recommendation engine based on user behavior and social network data, to surface content most likely to be relevant to a user on IBM Watson Studio Platform. Used collaborative filtering & matrix factorization techniques.

This repository contains Python functions implementing the Hoffman algorithm for decomposing elements of SO(N), and functions applying this algorithm to decompose any element of the matchgate group into nearest-neighbor matchgates. See README for more information and a list of references on the Hoffman decomposition and the matchgate group.