A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
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Updated
Oct 20, 2023 - Python
A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
a simple yet versatile recommendation systems library in python
Projet d'étude système de recommendation en utilisant filtrage collaboratif
Singular Value computation using Golub-Kahan method
Book Recommendation System Web App
Facial Recognition on 'Labelled Faces in the Wild Dataset' using the concept of Eigenfaces. I have used Singular Value Decomposition to obtain the eigenfaces used.
linear algebra package. like gonum/mat, but small. lets say gonum-lite
Comparing different recommendation systems algorithms like SVD, SVDpp (Matrix Factorization), KNN Baseline, KNN Basic, KNN Means, KNN ZScore), Baseline, Co Clustering
A movie recommender served with a Flask-restful app
Implementation of Collective Matrix Completion by Mokhtar Z. Alaya and Olga Klopp https://arxiv.org/abs/1807.09010
Matrix Calculator which perform SVD-factorization, QR-decomposition and LU-decomposition.
This project demonstrates the application of Singular Value Decomposition (SVD) for image compression using Python and NumPy.
Pipeline for point cloud to 3D object creation.
Sparse Truncated SVD Benchmark (Python)
Partial Total Least Squares routines from Sabine Van Huffel
complexarith is an attempt to model the complex field arithmetic in Java to be used in mathematical developments.
This repository contains PCA-analysis, SVD, and tf-idf examples from large scale analytics
Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)
A movie recommender system based on MovieLens (20M) dataset and FunkSVD algorithm
Design and implementation from scratch of different models for a musical recommendation system
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