The repository has the codes to identify co-linear (linearly dependent columns in a data) using linear algebra techniques.
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Updated
Mar 29, 2016 - Python
The repository has the codes to identify co-linear (linearly dependent columns in a data) using linear algebra techniques.
Implementation of recommender systems using collaborative filtering (with and without baseline), SVD, and CUR.
Using Matrix Factorization/Probabilistic Matrix Factorization to solve Recommendation。矩阵分解进行推荐系统算法。
Perform Sparse Matrix Factorization using GPU in CUDA
A simple matrix library written in Rust, with LU decomposition, equation solving, inversion and more.
This library include files that can be used for complex matrix computations. The library has been written in C/C++ and should be compatible with any microcontroller. Also includes Arduino codes that use the library for matrix computation.
This contains implementation of eigenvalue calculation algorithms from scratch.
Demonstrativo da análise não supervisionada de Correspondência Simples com por países e grau de letalidade da Covid-19.
Compressing RGB images using SVD matrix decomposition
Global optimization for mixed membership matrix factorization for omics data. Code for Zhang, et al, 2019
Applied linear Algebra Projects -Spring 2022
Hybrid (content-based/collaborative) recommendation model to find the best movie for two people to watch together.
A recommender system using matrix factorization algorithm and MovieLens dataset.
Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent (NeurIPS 2022)
Simple and user-friendly Python package for building recommendation systems based on PMF.
Load Tensor Decompositions results
Numerical Analysis Projects
The movie recommender is based on the Collaborative Filtering approach, and creates predictions for movie ratings with Matrix Factorization technique, more precisely, the SVD (Singular Value Decomposition) algorythm of SurPRISE library. Trained on 'small' dataset of MovieLens.
Building a Collaborative Filtering based Recommender system using e-commerce data.
Recommender System
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