148 Open source projects that are alternatives of or similar to matrix-completion

Quick-Data-Science-Experiments

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

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

Building recommender systems in Julia

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

recommender system tutorial with Python

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A tour through recommendation algorithms in python [IN PROGRESS]

LibRec: A Leading Java Library for Recommender Systems, see

Large scale training of factorization models for Collaborative Filtering with PyTorch

📖Notes and remarks on Machine Learning related papers

Some common recommendation system baseline, with description and link.

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 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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

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.

A Comparative Framework for Multimodal Recommender Systems

pytorch version of neural collaborative filtering

Data Science and Matrix Optimization course

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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

Using Deep Autoencoders for predictions of movie ratings.

Personalized real-time movie recommendation system

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Ranking made easy

A unified, comprehensive and efficient recommendation library

R interface to fast.ai

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.

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

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

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

Next RecSys Library

基于协同过滤的书籍推荐系统

Neural Collaborative Filtering

Neural Graph Collaborative Filtering, SIGIR2019

Factorization Machine models in PyTorch

Book recommender system using collaborative filtering based on Spark

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

A collection of resources for Recommender Systems (RecSys)

GraphMat graph analytics framework

Variational autoencoders for collaborative filtering

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

Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等

Papers about recommendation systems that I am interested in

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Recommender Systems Paperlist that I am interested in

An open source recommender system service written in Go

阅读过的推荐系统论文的归类总结，持续更新中…

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

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

Research on Collaborative Filtering Algorithms

4 different recommendation engines for the MovieLens dataset.

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

UC Berkeley team's submission for RecSys Challenge 2018

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