LightfmA Python implementation of LightFM, a hybrid recommendation algorithm.
Stars: ✭ 3,884 (+5148.65%)
STACPJoint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
Stars: ✭ 19 (-74.32%)
Course-Recommendation-SystemA system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
Stars: ✭ 14 (-81.08%)
CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Stars: ✭ 160 (+116.22%)
Expo MfExposure Matrix Factorization: modeling user exposure in recommendation
Stars: ✭ 81 (+9.46%)
SpotlightDeep recommender models using PyTorch.
Stars: ✭ 2,623 (+3444.59%)
ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
Stars: ✭ 2,569 (+3371.62%)
CarskitJava-Based Context-aware Recommendation Library
Stars: ✭ 98 (+32.43%)
ElliotComprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Stars: ✭ 49 (-33.78%)
retailbox🛍️RetailBox - eCommerce Recommender System using Machine Learning
Stars: ✭ 32 (-56.76%)
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
Stars: ✭ 280 (+278.38%)
Flurs🌊 FluRS: A Python library for streaming recommendation algorithms
Stars: ✭ 97 (+31.08%)
BuffaloTOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
Stars: ✭ 498 (+572.97%)
RecoderLarge scale training of factorization models for Collaborative Filtering with PyTorch
Stars: ✭ 46 (-37.84%)
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Stars: ✭ 121 (+63.51%)
RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Stars: ✭ 145 (+95.95%)
Fastfm fastFM: A Library for Factorization Machines
Stars: ✭ 908 (+1127.03%)
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.
Stars: ✭ 205 (+177.03%)
rec-a-sketchcontent discovery... IN 3D
Stars: ✭ 45 (-39.19%)
ppreca recommender engine node-js package for general use and easy to integrate.
Stars: ✭ 29 (-60.81%)
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.
Stars: ✭ 18 (-75.68%)
CornacA Comparative Framework for Multimodal Recommender Systems
Stars: ✭ 308 (+316.22%)
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.
Stars: ✭ 780 (+954.05%)
RecommendersTensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Stars: ✭ 752 (+916.22%)
TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Stars: ✭ 43 (-41.89%)
YeddaYEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.
Stars: ✭ 704 (+851.35%)
Awesome Recsys PapersThe awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
Stars: ✭ 666 (+800%)
Collaborative RnnA TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
Stars: ✭ 60 (-18.92%)
LrslibraryLow-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Stars: ✭ 625 (+744.59%)
MoviegeekA django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
Stars: ✭ 608 (+721.62%)
Collaborative Deep Learning For Recommender SystemsThe hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
Stars: ✭ 60 (-18.92%)
DeeprecAn Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Stars: ✭ 954 (+1189.19%)
Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Stars: ✭ 605 (+717.57%)
Newsrecommendsystem个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
Stars: ✭ 557 (+652.7%)
Music recommenderMusic recommender using deep learning with Keras and TensorFlow
Stars: ✭ 528 (+613.51%)
LikelikeAn implementation of locality sensitive hashing with Hadoop
Stars: ✭ 58 (-21.62%)
RecqRecQ: A Python Framework for Recommender Systems (TensorFlow Based)
Stars: ✭ 883 (+1093.24%)
MrsrMRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.
Stars: ✭ 13 (-82.43%)
RsalgorithmsSome algorithms about traditional and social recommendation.
Stars: ✭ 500 (+575.68%)
Recsim A Configurable Recommender Systems Simulation Platform
Stars: ✭ 461 (+522.97%)
RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Stars: ✭ 71 (-4.05%)
TeneA sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Stars: ✭ 69 (-6.76%)
RexyFlexible and extendable recommender system based on an abstract User-Product-Tag schema
Stars: ✭ 57 (-22.97%)
Robust NmfPython PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
Stars: ✭ 25 (-66.22%)
NimfaNimfa: Nonnegative matrix factorization in Python
Stars: ✭ 440 (+494.59%)
NeanderthalFast Clojure Matrix Library
Stars: ✭ 927 (+1152.7%)
Armadillo CodeArmadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net
Stars: ✭ 388 (+424.32%)