1049 Open source projects that are alternatives of or similar to Gorse

UC Berkeley team's submission for RecSys Challenge 2018

Summary of social recommendation papers and codes

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Building recommender systems in Julia

Neural Collaborative Filtering

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

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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

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

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

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

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

6th Solution for 2020-KDDCUP Debiasing Challenge

An efficient Python implementation of the Apriori algorithm.

Heart Disease prediction using 5 algorithms

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

kNN-based next-basket recommendation

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

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.

Neural Graph Collaborative Filtering, SIGIR2019

A Clojure library for querying large data-sets on similarity

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.

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.

Papers about recommendation systems that I am interested in

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

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

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.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

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

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

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.

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.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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.

Official Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)

A REST API to serve machine learning and deep learning models

📖Notes and remarks on Machine Learning related papers

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

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

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

recommender system tutorial with Python

阅读过的推荐系统论文的归类总结，持续更新中…

model-describer : Making machine learning interpretable to humans

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.

Building an API Backend with MicroProfile

RESTFeel: 一个企业级的API管理&测试平台。RESTFeel帮助你设计、开发、测试您的API。

I will update this repository to learn Machine learning with python with statistics content and materials

It is always Calm before a Tornado!

High performance tokenizers for natural language processing and other related tasks

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

PHP-ML - Machine Learning library for PHP

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.