261 Open source projects that are alternatives of or similar to tf-recsys

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

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

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.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

Summary of social recommendation papers and codes

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.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Large scale training of factorization models for Collaborative Filtering with PyTorch

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.

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

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

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

Building recommender systems in Julia

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Neural Graph Collaborative Filtering, SIGIR2019

📖Notes and remarks on Machine Learning related papers

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

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

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

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.

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.

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.

A Comparative Framework for Multimodal Recommender Systems

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

recommender system tutorial with Python

Neural Collaborative Filtering

阅读过的推荐系统论文的归类总结，持续更新中…

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

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

An open source recommender system service written in Go

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

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.

UC Berkeley team's submission for RecSys Challenge 2018

A Clojure library for querying large data-sets on similarity

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

kNN-based next-basket recommendation

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

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

Papers about recommendation systems that I am interested in

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Book recommender system using collaborative filtering based on Spark

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

Imputation method for scRNA-seq based on low-rank approximation

A C library for product recommendations/suggestions using collaborative filtering (CF)

R interface to fast.ai

GraphMat graph analytics framework

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"

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

Research on Collaborative Filtering Algorithms

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

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

PyTorch Implementation for Neural Graph Collaborative Filtering

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.