533 Open source projects that are alternatives of or similar to Enmf

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.

☁️ 🚀 📊 📈 Evaluating state of the art in AI

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 minimal example data analysis project with the targets R package

Deploy a BinderHub from scratch on Microsoft Azure

recommender system tutorial with Python

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

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.

A set of tools for R that enhance reproducibility beyond package management

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

A Clojure library for querying large data-sets on similarity

Neural Collaborative Filtering

⛔ ARCHIVED ⛔

Building recommender systems in Julia

Summary of social recommendation papers and codes

NOTE: This repo is archived. Please see https://github.com/benmarwick/rrtools for my current approach

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

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

Open solution to the Google AI Object Detection Challenge 🍁

Example workflows for the drake R package

UC Berkeley team's submission for RecSys Challenge 2018

阅读过的推荐系统论文的归类总结，持续更新中…

Papers about recommendation systems that I am interested in

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

An open source recommender system service written in Go

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.

Coding Standards for the USC Biostats group

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

ukbREST: efficient and streamlined data access for reproducible research of large biobanks

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

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

📖Notes and remarks on Machine Learning related papers

kNN-based next-basket recommendation

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.

Short course on reproducible science: what, why, how

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

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

An R-focused pipeline toolkit for reproducibility and high-performance computing

Disentagnled Graph Collaborative Filtering, SIGIR2020

Software Papers as Software Modules: Towards a Culture of Reusable Results

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.

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

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

A Comparative Framework for Multimodal Recommender Systems

Function-oriented Make-like declarative workflows for R

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Examples and demos for ReproZip

Neural Graph Collaborative Filtering, SIGIR2019

rrtools: Tools for Writing Reproducible Research in R

Presentation-Ready Data Summary and Analytic Result Tables

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

Short course on the targets R package

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

Reproducible Data Science in Python (SciPy 2019 Tutorial)

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

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