281 Open source projects that are alternatives of or similar to Implicit

Large scale training of factorization models for Collaborative Filtering with PyTorch

A Comparative Framework for Multimodal Recommender Systems

📖Notes and remarks on Machine Learning related papers

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

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

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 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

recommender system tutorial with Python

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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.

Some common recommendation system baseline, with description and link.

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

kNN-based next-basket recommendation

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

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

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.

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

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

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…

content discovery... IN 3D

pytorch version of neural collaborative filtering

Papers about recommendation systems that I am interested in

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

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.

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.

🌊 FluRS: A Python library for streaming recommendation algorithms

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.

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

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

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

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

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

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

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

Recurrence the recommender paper with Tensorflow2.0

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

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

LibRec: A Leading Java Library for Recommender Systems, see

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Java-Based Context-aware Recommendation Library

Neural Graph Collaborative Filtering, SIGIR2019

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

fastFM: A Library for Factorization Machines

Neural Collaborative Filtering

🍊 👎 Add-on for Orange3 to support recommender systems.

A Python implementation of LightFM, a hybrid recommendation algorithm.

A Clojure library for querying large data-sets on similarity

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.

A tour through recommendation algorithms in python [IN PROGRESS]

An open source recommender system service written in Go

Recommender System Using Parallel Matrix Factorization

Summary of social recommendation papers and codes

Quick-Data-Science-Experiments

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

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data