RecommenderA C library for product recommendations/suggestions using collaborative filtering (CF)
Recommender SystemA developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
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.
ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
RecotourA tour through recommendation algorithms in python [IN PROGRESS]
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
MetarecPyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
EnmfThis is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
DeepicfTensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
GraphmatGraphMat graph analytics framework
RecommendPython 3.6 下的推荐算法解析,尽量使用简单的语言剖析原理,相似度度量、协同过滤、矩阵分解等
RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
GorseAn open source recommender system service written in Go
Cmfrec(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
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.
ConsimiloA Clojure library for querying large data-sets on similarity
DeepmatchA deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
ElliotComprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
RecoderLarge scale training of factorization models for Collaborative Filtering with PyTorch
MoviePersonalized real-time movie recommendation system
DeeprecAn Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
MrsrMRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.
Recsys19 hybridsvdAccompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
Letterboxd recommendationsScraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
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.
RecboleA unified, comprehensive and efficient recommendation library
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.
Vae cfVariational autoencoders for collaborative filtering
RspapersA Curated List of Must-read Papers on Recommender System.
CornacA Comparative Framework for Multimodal Recommender Systems
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
LibrecLibRec: A Leading Java Library for Recommender Systems, see
Movielens4 different recommendation engines for the MovieLens dataset.
recommenderNReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)