359 Open source projects that are alternatives of or similar to recommender_system_with_Python

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

A Comparative Framework for Multimodal Recommender Systems

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.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

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

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 benchmarks

Java-Based Context-aware Recommendation Library

LibRec: A Leading Java Library for Recommender Systems, see

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

Building recommender systems in Julia

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Tf-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.

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

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

Some common recommendation system baseline, with description and link.

RecDB is a recommendation engine built entirely inside PostgreSQL

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

A Python implementation of LightFM, a hybrid recommendation algorithm.

Best Practices on Recommendation Systems

a recommender engine node-js package for general use and easy to integrate.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

kNN-based next-basket recommendation

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

📖Notes and remarks on Machine Learning related papers

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.

阅读过的推荐系统论文的归类总结，持续更新中…

Quick-Data-Science-Experiments

Examples of all Machine Learning Algorithm in Apache Spark

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.

Neural Graph Collaborative Filtering, SIGIR2019

A Curated List of Must-read Papers on Recommender System.

pytorch version of neural collaborative filtering

Papers about recommendation systems that I am interested in

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

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

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

📊 A Recombee integration for Laravel

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.

Personalized real-time movie recommendation system

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

A Clojure library for querying large data-sets on similarity

UC Berkeley team's submission for RecSys Challenge 2018

A unified, comprehensive and efficient recommendation library

An open source recommender system service written in Go

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.

a data science blog

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

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.

Summary of social recommendation papers and codes

Deep learning for recommender systems

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

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Machine learning for beginner(Data Science enthusiast)

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A tour through recommendation algorithms in python [IN PROGRESS]

An index of recommendation algorithms that are based on Graph Neural Networks.

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

Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"

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