213 Open source projects that are alternatives of or similar to Openlearning4deeprecsys

阅读过的推荐系统论文的归类总结，持续更新中…

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

Multiplicative LSTM for Recommendations

Deep Learning Computer Vision Algorithms for Real-World Use

Bayesian Personalized Ranking using PyTorch

Classic papers and resources on recommendation

No description or website provided.

Hybrid Recommender System

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

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.

Fast item-to-item recommendations on the command line.

Efficient training of deep recommenders on cloud.

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

A Python implementation of LightFM, a hybrid recommendation algorithm.

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

This is a repository of public data sources for Recommender Systems (RS).

This is our implementation of SAMN: Social Attentional Memory Network

Материалы третьего набора офлайн-программы Data Scientist.

Multi-order Attentive Ranking Model for Sequential Recommendation

Tool for autodownloading recommendation systems datasets

Papers about recommendation systems that I am interested in

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

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

🛍️RetailBox - eCommerce Recommender System using Machine Learning

A simple movie recommendation engine

Factorization Machine, Deep Learning, Recommender System

code for Gogleva et al manuscript

Summary of social recommendation papers and codes

Recommendations for Ruby and Rails using collaborative filtering

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

content discovery... IN 3D

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

基于 Pytorch 实现推荐系统相关的算法

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.

Friends Recommendation and Link Prediction in Social Netowork

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

A Comparative Framework for Multimodal Recommender Systems

PyTorch Implementation for Neural Graph Collaborative Filtering

Sequential recommendation algorithm

Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course

One Person, One Model, One World: Learning Continual User Representation without Forgetting

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

MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

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

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Deep recommender models using PyTorch.

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

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

📖Notes and remarks on Machine Learning related papers

RecDB is a recommendation engine built entirely inside PostgreSQL

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.

Machine Learning (EE 5184) in NTU

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

a recommender engine node-js package for general use and easy to integrate.

kNN-based next-basket recommendation

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.