A Python implementation of LightFM, a hybrid recommendation algorithm.

LibRec: A Leading Java Library for Recommender Systems, see

Deep recommender models using PyTorch.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

A curated list of community detection research papers with implementations.

Fast Clojure Matrix Library

fastFM: A Library for Factorization Machines

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"

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

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

Nimfa: Nonnegative matrix factorization in Python

Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

recommendation system with python

SMORe: Modularize Graph Embedding for Recommendation

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

A Comparative Framework for Multimodal Recommender Systems

pytorch version of neural collaborative filtering

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

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.

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

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)

Robust PCA implementation and examples (Matlab)

A tour through recommendation algorithms in python [IN PROGRESS]

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset