95 Open source projects that are alternatives of or similar to keras-recommender

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

LibRec: A Leading Java Library for Recommender Systems, see

recommender system tutorial with Python

R interface to fast.ai

Using Deep Autoencoders for predictions of movie ratings.

Lightweight Python library for in-memory matrix completion.

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

The 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.

Large scale training of factorization models for Collaborative Filtering with PyTorch

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

Summary of social recommendation papers and codes

GraphMat graph analytics framework

A C library for product recommendations/suggestions using collaborative filtering (CF)

Research on Collaborative Filtering Algorithms

a data science blog

A 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.

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.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Personalized real-time movie recommendation system

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Deep learning for recommender systems

Disentagnled Graph Collaborative Filtering, SIGIR2020

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

collaborative filtering in mysql

This 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.

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Building recommender systems in Julia

Neural Collaborative Filtering

Book recommender system using collaborative filtering based on Spark

Python 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

A configurable, tunable, and reproducible library for deep matching models

An open source recommender system service written in Go

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

Restricted Boltzmann Machine for collaborative filtering of movies.

A Clojure library for querying large data-sets on similarity

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

Ranking made easy

Fast Python Collaborative Filtering for Implicit Feedback Datasets

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

基于协同过滤的书籍推荐系统

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

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" and of several follow-up studies.

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

A unified, comprehensive and efficient recommendation library

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

A tour through recommendation algorithms in python [IN PROGRESS]

Next RecSys Library

Quick-Data-Science-Experiments