Ecosyste.ms: Repos

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GitHub topics: cur-decomposition

RodniO/Projective-volume-low-rank

Fast algorithms for volume-based CUR low-rank approximation and their application to nonnegative matrix approximation and matrix completion problems.

Language: Fortran - Size: 219 KB - Last synced: 30 days ago - Pushed: 30 days ago - Stars: 1 - Forks: 1

nikhil-iyer-97/Recommender-System

Usage of various techniques such as Collaborative filtering, SVD and CUR-decomposition to predict movie ratings and recommend movies

Language: Python - Size: 944 KB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 1 - Forks: 1

iamkroot/recommender-systems 📦

Implementation of various recommender systems, for course CS F469 Information Retrieval

Language: Python - Size: 407 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 4 - Forks: 0

caesarcai/IRCUR

Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation

Language: MATLAB - Size: 34.2 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 4 - Forks: 2

crakesh27/Recommender-System

Implementation of various recommendation algorithms such as Collaborative filtering, SVD and CUR-decomposition to predict user movie ratings

Language: Python - Size: 2.33 MB - Last synced: 12 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 1

sanchitsgupta/recommendation-algorithms

Implementation of Collaborative Filtering, SVD and CUR decomposition

Language: Python - Size: 12.4 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

SoamyaAgrawal17/Recommender_System

Implementation and comparison (time, space) of SVD and CUR matrix decomposition algorithms

Language: Java - Size: 1.83 MB - Last synced: over 1 year ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 0

Raghu150999/recommender-system

Implementing different approaches for recommendation systems

Language: Python - Size: 34.3 MB - Last synced: 5 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 1

darkreqnx/recommender-systems

Implementation of recommender systems using collaborative filtering (with and without baseline), SVD, and CUR.

Language: Python - Size: 42 KB - Last synced: over 1 year ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 0