338 Open source projects that are alternatives of or similar to Rspapers

Music recommender using deep learning with Keras and TensorFlow

Some algorithms about traditional and social recommendation.

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

A Configurable Recommender Systems Simulation Platform

TenforFlow Implementation of Neural Factorization Machine

Some deep learning based recsys for open learning.

SASRec: Self-Attentive Sequential Recommendation

TensorFlow Implementation of Attentional Factorization Machine

Reinforced Recommendation toolkit built around pytorch 1.7

A Python implementation of LightFM, a hybrid recommendation algorithm.

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

Book recommender system using collaborative filtering based on Spark

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

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

基于协同过滤的书籍推荐系统

A tour through recommendation algorithms in python [IN PROGRESS]

Deep learning for recommender systems

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

Using Deep Autoencoders for predictions of movie ratings.

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

R interface to fast.ai

GraphMat graph analytics framework

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

Research on Collaborative Filtering Algorithms

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

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.

Ranking made easy

Personalized real-time movie recommendation system

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

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

A unified, comprehensive and efficient recommendation library

Next RecSys Library

Factorization Machine models in PyTorch

A collection of resources for Recommender Systems (RecSys)

Variational autoencoders for collaborative filtering

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Papers from the computer science community to read and discuss.