633 Open source projects that are alternatives of or similar to Tf-Rec

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

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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.

recommender system tutorial with Python

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.

Some common recommendation system baseline, with description and link.

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计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

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📖Notes and remarks on Machine Learning related papers

recommendation system with python

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

kNN-based next-basket recommendation

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A TensorFlow recommendation algorithm and framework in Python.

RecDB is a recommendation engine built entirely inside PostgreSQL

This repository contains some datasets that I have collected in Recommender Systems.

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

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

🍃 Recommender System in JavaScript for the MovieLens Database

fastFM: A Library for Factorization Machines

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Java-Based Context-aware Recommendation Library

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

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Reinforced Recommendation toolkit built around pytorch 1.7

项亮的《推荐系统实践》的代码实现

Building recommender systems in Julia

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.

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A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

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

RiVal recommender system evaluation toolkit

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

content discovery... IN 3D

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.

Deep recommender models using PyTorch.

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

Recurrence the recommender paper with Tensorflow2.0

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

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

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An implementation of "Community Preserving Network Embedding" (AAAI 2017)