262 Open source projects that are alternatives of or similar to Fastfm

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

Building recommender systems in Julia

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

🌊 FluRS: A Python library for streaming recommendation algorithms

Recommender System Using Parallel Matrix Factorization

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

KDD17_FMG

recommender system tutorial with Python

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

Attention,Factorization Machine, Deep Learning, Recommender System

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 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.

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.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Recurrence the recommender paper with Tensorflow2.0

A Comparative Framework for Multimodal Recommender Systems

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Deep recommender models using PyTorch.

Exposure Matrix Factorization: modeling user exposure in recommendation

Java-Based Context-aware Recommendation Library

TenforFlow Implementation of Neural Factorization Machine

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

Some deep learning based recsys for open learning.

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

📖Notes and remarks on Machine Learning related papers

A Python implementation of LightFM, a hybrid recommendation algorithm.

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

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

🛍️RetailBox - eCommerce Recommender System using Machine Learning

content discovery... IN 3D

TensorFlow Implementation of Attentional Factorization Machine

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.

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

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

推荐系统

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

Deep Learning Computer Vision Algorithms for Real-World Use

Music recommender using deep learning with Keras and TensorFlow

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

Papers about recommendation systems that I am interested in

A Deep Learning Recommender System

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

Neural Graph Collaborative Filtering, SIGIR2019

SMORe: Modularize Graph Embedding for Recommendation

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

项亮的《推荐系统实践》的代码实现

Papers on Computational Advertising

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

Some algorithms about traditional and social recommendation.

RecDB is a recommendation engine built entirely inside PostgreSQL

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

阅读过的推荐系统论文的归类总结，持续更新中…

🎬instant recommending or finding or downloading movies via the command line

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

A Configurable Recommender Systems Simulation Platform

recommendation system with python