217 Open source projects that are alternatives of or similar to Deeprec

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.

Some common recommendation system baseline, with description and link.

recommender system tutorial with Python

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

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

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

LibRec: A Leading Java Library for Recommender Systems, see

Large scale training of factorization models for Collaborative Filtering with PyTorch

pytorch version of neural collaborative filtering

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

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.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A tour through recommendation algorithms in python [IN PROGRESS]

recommendation system with python

Lightweight Python library for in-memory matrix completion.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Book recommender system using collaborative filtering based on Spark

A unified, comprehensive and efficient recommendation library

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

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

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

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

Building recommender systems in Julia

Quick-Data-Science-Experiments

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.

a data science blog

📖Notes and remarks on Machine Learning related papers

Personalized real-time movie recommendation system

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

kNN-based next-basket recommendation

推荐算法个人学习笔记以及代码实战

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Papers about recommendation systems that I am interested in

fastFM: A Library for Factorization Machines

Recurrence the recommender paper with Tensorflow2.0

SMORe: Modularize Graph Embedding for Recommendation

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

项亮的《推荐系统实践》的代码实现

RecDB is a recommendation engine built entirely inside PostgreSQL

Fast Clojure Matrix Library

SuiteSparse: a suite of sparse matrix packages by T. A. Davis et al. (This repository contains copies of the official versions.)

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.

Recommender Systems Paperlist that I am interested in

Neural Graph Collaborative Filtering, SIGIR2019

阅读过的推荐系统论文的归类总结，持续更新中…

Jumping across biomedical contexts using compressive data fusion

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

4 different recommendation engines for the MovieLens dataset.

Factorization Machine models in PyTorch

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

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

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

Nimfa: Nonnegative matrix factorization in Python

UC Berkeley team's submission for RecSys Challenge 2018

A collection of resources for Recommender Systems (RecSys)

A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF