A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented....
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap....
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018...
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Book recommender system using collaborative filtering based on Spark
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python,...
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep...
A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system bench...
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on....
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
An intelligent recommender system for stock analyzing, predicting and trading
Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Python-based framework for building and evaluating session-based recommender systems.