425 Open source projects that are alternatives of or similar to Awesome-Machine-Learning-Papers

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 tutorial with Python

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.

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

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

A Comparative Framework for Multimodal Recommender Systems

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Large scale training of factorization models for Collaborative Filtering with PyTorch

Building recommender systems in Julia

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

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

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.

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

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.

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

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

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

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

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.

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

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.

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

kNN-based next-basket recommendation

LibRec: A Leading Java Library for Recommender Systems, see

pytorch version of neural collaborative filtering

Neural Graph Collaborative Filtering, SIGIR2019

Some common recommendation system baseline, with description and link.

UC Berkeley team's submission for RecSys Challenge 2018

A Clojure library for querying large data-sets on similarity

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

An open source recommender system service written in Go

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

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.

Neural Collaborative Filtering

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

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

A tour through recommendation algorithms in python [IN PROGRESS]

scikit-fusion: Data fusion via collective latent factor models

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Nimfa: Nonnegative matrix factorization in Python

Recommender Systems Paperlist that I am interested in

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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.

Quick-Data-Science-Experiments

Disentagnled Graph Collaborative Filtering, SIGIR2020

Summary of social recommendation papers and codes

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

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

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

Lightweight Python library for in-memory matrix completion.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

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