Recommendation Python Packages

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

scikit-surprise

A Python scikit for building and analyzing recommender systems

recommenders

Best Practices on Recommendation Systems

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

mab2rec

Mab2Rec: Multi-Armed Bandits Recommender

deepmatch

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.

rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

rtrec

An realtime recommendation system supporting online updates

pre-reco-utils

Best Practices on Recommendation Systems

pysarplus

Best Practices on Recommendation Systems

srdatasets

A collection of research ready datasets for sequential recommendation

gbiz-torch

general deep algorithm for business, marketing and advertisement

scikit-surprise-2

A Python scikit for building and analyzing recommender systems

socialvec

SocialVec is a framework of Social Embeddings for eliciting social world knowledge from social networks.

ezsasrec

An easy and efficient tool to build sequential recommendation system utilizing SASRec

funrec

推荐系统工具包 - 提供机器学习推荐算法和推荐系统开发工具

crslab

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

wbimplicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

recommender-utils

Recommender System Utilities

bluewhale3-recommendation

🍊 :thumbsdown: Add-on for Orange3 to support recommender systems.

fashion-recommenders

An easy-to-use PyTorch-based package for fashion recommendation models

blauwal3-recommendation

🍊 :thumbsdown: Add-on for Orange3 to support recommender systems.

recbole-cdr

This is a library built upon RecBole for cross-domain recommendation algorithms

reczoo

A box of core libraries for recommendation model development