#Matrix-factorization
Showing 20 of 20 repositories tagged #matrix-factorization, ranked by stars
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
A Python implementation of LightFM, a hybrid recommendation algorithm.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Deep recommender models using PyTorch.
A curated list of community detection research papers with implementations.
Recommender Learning with Tensorflow2.x
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
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.
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
pytorch version of neural collaborative filtering
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
recommender system tutorial with Python
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.
Exposure Matrix Factorization: modeling user exposure in recommendation
Data Science and Matrix Optimization course
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning based recommendation systems