DSMO.courseData Science and Matrix Optimization course
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python-libmfNo description or website provided.
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cmna-pkgComputational Methods for Numerical Analysis
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NetmfNetwork Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
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keras-aquariuma small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
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Armadillo CodeArmadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net
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GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
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RolXAn alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
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RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
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LibrecLibRec: A Leading Java Library for Recommender Systems, see
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M-NMFAn implementation of "Community Preserving Network Embedding" (AAAI 2017)
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BuffaloTOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
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galileoScala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool
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recometrics(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems
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Recsys2019 deeplearning evaluationThis 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.
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ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
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SmoreSMORe: Modularize Graph Embedding for Recommendation
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Cumf alsCUDA Matrix Factorization Library with Alternating Least Square (ALS)
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Course-Recommendation-SystemA system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
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Tf-RecTf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
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RecotourA tour through recommendation algorithms in python [IN PROGRESS]
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DaisyrecA developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks
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enstopEnsemble topic modelling with pLSA
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Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
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AttentionwalkA PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
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REGALRepresentation learning-based graph alignment based on implicit matrix factorization and structural embeddings
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MedusaJumping across biomedical contexts using compressive data fusion
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retailbox🛍️RetailBox - eCommerce Recommender System using Machine Learning
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ppreca recommender engine node-js package for general use and easy to integrate.
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NimfaNimfa: Nonnegative matrix factorization in Python
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OLSTECOnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
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NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
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RcppMLRcpp Machine Learning: Fast robust NMF, divisive clustering, and more
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Fastfm fastFM: A Library for Factorization Machines
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matrix-completionLightweight Python library for in-memory matrix completion.
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PHDMFThis is a new deep learning model for recommender system, which we called PHD
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SpotlightDeep recommender models using PyTorch.
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LightfmA Python implementation of LightFM, a hybrid recommendation algorithm.
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PolaraRecommender 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.
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CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
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LrslibraryLow-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
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BionevGraph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
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STACPJoint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
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NmflibraryMATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
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CornacA Comparative Framework for Multimodal Recommender Systems
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torchmfmatrix factorization in PyTorch
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NeanderthalFast Clojure Matrix Library
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SuitesparseSuiteSparse: a suite of sparse matrix packages by T. A. Davis et al. (This repository contains copies of the official versions.)
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Recommendrecommendation system with python
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