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The Wayback Machine - https://web.archive.org/web/20201001234028/https://github.com/topics/matrix-factorization
Here are
375 public repositories
matching this topic...
A Python implementation of LightFM, a hybrid recommendation algorithm.
Updated
Aug 2, 2020
Python
LibRec: A Leading Java Library for Recommender Systems, see
Updated
Sep 27, 2020
Java
Deep recommender models using PyTorch.
Updated
Feb 9, 2020
Python
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Updated
Oct 1, 2020
Python
A curated list of community detection research papers with implementations.
Updated
Aug 4, 2020
Python
Fast Clojure Matrix Library
Updated
Oct 1, 2020
Clojure
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Updated
Apr 23, 2020
Python
fastFM: A Library for Factorization Machines
Updated
Mar 5, 2020
Python
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Updated
Sep 25, 2020
Python
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Updated
Apr 23, 2020
MATLAB
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Updated
Sep 24, 2020
Python
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
Updated
Sep 26, 2020
Python
Nimfa: Nonnegative matrix factorization in Python
Updated
Feb 14, 2020
Python
SMORe: Modularize Graph Embedding for Recommendation
recommendation system with python
Updated
May 29, 2018
Python
A Comparative Framework for Multimodal Recommender Systems
Updated
Sep 26, 2020
Python
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Updated
Sep 24, 2020
Python
Recurrence the recommender paper with Tensorflow2.0
Updated
Sep 28, 2020
Python
pytorch version of neural collaborative filtering
Updated
Nov 27, 2019
Jupyter Notebook
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Updated
May 31, 2020
Python
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
Updated
May 9, 2020
Python
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Updated
Aug 22, 2017
Jupyter Notebook
CUDA Matrix Factorization Library with Alternating Least Square (ALS)
Updated
Aug 14, 2018
Cuda
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Updated
Jan 27, 2020
Python
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Updated
Apr 14, 2020
Python
A tour through recommendation algorithms in python [IN PROGRESS]
Updated
Jun 8, 2020
Jupyter Notebook
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0
Updated
Jun 27, 2019
MATLAB
Robust PCA implementation and examples (Matlab)
Updated
Feb 21, 2018
MATLAB
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