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

Research on Collaborative Filtering Algorithms

Some common recommendation system baseline, with description and link.

LibRec: A Leading Java Library for Recommender Systems, see

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

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

Recommender built using keras

Restricted Boltzmann Machine for collaborative filtering of movies.

a data science blog

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.

Quick-Data-Science-Experiments

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

collaborative filtering in mysql

A configurable, tunable, and reproducible library for deep matching models

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

Accelerated deep learning R&D

Personalized real-time movie recommendation system

Classic papers and resources on recommendation

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

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

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

TensorFlow implemenation of GRu4Rec model

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

This is the official repository for the Recommender Systems course at Politecnico di Milano.

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

Paper list of NLP for recommender systems

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

A unified, comprehensive and efficient recommendation library

entity2rec generates item recommendation using property-specific knowledge graph embeddings

This repository contains some datasets that I have collected in Recommender Systems.

Ranking made easy

Deep recommender models using PyTorch.

基于协同过滤的书籍推荐系统

Recommendations for Ruby and Rails using collaborative filtering

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

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Recommender systems for Go

A tour through recommendation algorithms in python [IN PROGRESS]

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

📝 SZU Undergraduate Thesis -- Recommender System

Recommendation based on sequence

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Next RecSys Library

Deep learning for recommender systems

RiVal recommender system evaluation toolkit

Factorization Machine models in PyTorch

跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。功能强大，使用方便。欢迎star & fork。Build together! Power another !

A recommender system for discovering GitHub repos, built with Apache Spark

Lightweight Python library for in-memory matrix completion.

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

A collection of resources for Recommender Systems (RecSys)

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

Variational autoencoders for collaborative filtering

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

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

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