108 Open source projects that are alternatives of or similar to Pytorch Fm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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.

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

Building recommender systems in Julia

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

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

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

a data science blog

Summary of social recommendation papers and codes

阅读过的推荐系统论文的归类总结，持续更新中…

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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.

Tensorflow implementation of DeepFM variant that won 4th Place in Mercari Price Suggestion Challenge on Kaggle.

recommender system tutorial with Python

A Comparative Framework for Multimodal Recommender Systems

Quick-Data-Science-Experiments

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

A configurable, tunable, and reproducible library for deep matching models

TensorFlow Implementation of Attentional Factorization Machine

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

Disentagnled Graph Collaborative Filtering, SIGIR2020

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

LibRec: A Leading Java Library for Recommender Systems, see

推荐算法个人学习笔记以及代码实战

Book recommender system using collaborative filtering based on Spark

#nowplaying-RS: Music Recommendation using Factorization Machines

pytorch version of neural collaborative filtering

Recommender built using keras

Papers about recommendation systems that I am interested in

Restricted Boltzmann Machine for collaborative filtering of movies.

UC Berkeley team's submission for RecSys Challenge 2018

Some deep learning based recsys for open learning.

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

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

collaborative filtering in mysql

Recommender Systems Paperlist that I am interested in

零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

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

TenforFlow Implementation of Neural Factorization Machine

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

Lightweight Python library for in-memory matrix completion.

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).

A C library for product recommendations/suggestions using collaborative filtering (CF)

📖Notes and remarks on Machine Learning related papers

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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

kNN-based next-basket recommendation

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

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 parallel implementation of factorization machines based on Spark

A collection of resources for Recommender Systems (RecSys)

Variational autoencoders for collaborative filtering