260 Open source projects that are alternatives of or similar to Lightfm

recommender system tutorial with Python

Deep recommender models using PyTorch.

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Recommender System Using Parallel Matrix Factorization

A Comparative Framework for Multimodal Recommender Systems

Exposure Matrix Factorization: modeling user exposure in recommendation

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

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.

Recurrence the recommender paper with Tensorflow2.0

fastFM: A Library for Factorization Machines

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

content discovery... IN 3D

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

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

Building recommender systems in Julia

Large scale training of factorization models for Collaborative Filtering with PyTorch

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

🌊 FluRS: A Python library for streaming recommendation algorithms

Java-Based Context-aware Recommendation Library

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

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

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

🍊 👎 Add-on for Orange3 to support recommender systems.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

📖Notes and remarks on Machine Learning related papers

LibRec: A Leading Java Library for Recommender Systems, see

Scala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪

SoulSeek client with web interface and recommender system

pytorch version of neural collaborative filtering

Multiplicative LSTM for Recommendations

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

Материалы третьего набора офлайн-программы Data Scientist.

Hybrid Recommender System

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Papers on Computational Advertising

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

Efficient training of deep recommenders on cloud.

Rank and serve recommendations

A simple movie recommendation engine

This is a repository of public data sources for Recommender Systems (RS).

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

RecDB is a recommendation engine built entirely inside PostgreSQL

UC Berkeley team's submission for RecSys Challenge 2018

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

No description or website provided.

基于 Pytorch 实现推荐系统相关的算法

Multi-order Attentive Ranking Model for Sequential Recommendation

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

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

Papers about recommendation systems that I am interested in