213 Open source projects that are alternatives of or similar to Fmg

Building recommender systems in Julia

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

TensorFlow Implementation of Attentional Factorization Machine

TenforFlow Implementation of Neural Factorization Machine

fastFM: A Library for Factorization Machines

Attention,Factorization Machine, Deep Learning, Recommender System

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

🌊 FluRS: A Python library for streaming recommendation algorithms

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

Some deep learning based recsys for open learning.

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

Recommender System Using Parallel Matrix Factorization

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

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

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

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

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.

An open source recommender system service written in Go

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

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

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

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

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

Recurrence the recommender paper with Tensorflow2.0

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

An index of algorithms for learning causality with data

An implementation of locality sensitive hashing with Hadoop

推荐系统

Building recommenders with Elastic Graph!

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

Neural Graph Collaborative Filtering, SIGIR2019

Java-Based Context-aware Recommendation Library

A Deep Learning Recommender System

图像识别与推荐系统两类

TensorFlow implementation of an arbitrary order Factorization Machine

Deep reinforcement learning for recommendation system

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

A TensorFlow recommendation algorithm and framework in Python.

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.

Machine Learning Platform and Recommendation Engine built on Kubernetes

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

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.

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 Collaborative Filtering

Music recommender using deep learning with Keras and TensorFlow

Flexible and extendable recommender system based on an abstract User-Product-Tag schema

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

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Some algorithms about traditional and social recommendation.

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

A Clojure library for querying large data-sets on similarity

A Configurable Recommender Systems Simulation Platform

Exposure Matrix Factorization: modeling user exposure in recommendation

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

Factorization Machine models in PyTorch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Towards A Standardized Tag Recommender Benchmarking Framework