hypers: hyperspectral data structure, data analysis and machine learning

🍊 🔗 Data fusion add-on for Orange3

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction

a python script of a function summarize some popular methods about gradient descent

Deep learning models have become state of the art for natural language processing (NLP) tasks, however deploying these models in production system poses significant memory constraints. Existing compression methods are either lossy or introduce significant latency. We propose a compression method that leverages low rank matrix factorization durin…

matrix decomposition from scratch for matrix analysis and analysis course capstone of ucas

Matrix implementation that includes LU/LUP decomposition and solving basic linear equations

Python implementation of Cholesky decomposition

Implementations of some numerical optimization, matrix approximation + decomposition algorithms.

Implementations of tensor networks algorithms in python.

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

Quantum Circuit Decomposition

A graph decomposer for the Linear Algebra class project

Tugas Besar 2 IF 2123 Aljabar Linier dan Geometri (Aplikasi Nilai Eigen dan Vektor Eigen dalam Kompresi Gambar)

This project is focused on the implementation of various numerical algorithms for solving systems of equations. Its primary objective is to enable the user to practice and develop an understanding of the fundamentals of numerical multi-linear algebra.

A Python program generating steps to decompose a matrix

Python implementation of QB matrix decomposition

Linear algebra applied in the implementation from scratch of the classic flower classification machine learning problem. Decomposition techniques were used to solve the linear system through least squares regression.

University labs