Search Packages

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

recbole

A unified, comprehensive and efficient recommendation library

rusket

rusket 🦀🧺

librecommender

Versatile End-to-End Recommender System

cmfrec

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

replay-rec

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

myfm

Yet another Bayesian factorization machines.

torchfm

PyTorch implementation of Factorization Machine Models

matrix-factorization

Library for matrix factorization for recommender systems using collaborative filtering

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

similaripy

High-performance KNN similarity functions in Python, optimized for sparse matrices

rec-pangu

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

sansa

SANSA - sparse EASE for millions of items

rectorch

rectorch: state-of-the-art recsys approaches implemented in pytorch.

pytorchcml

Collaborative Metric Learning implemented by PyTorch

neighbors

A package to perform collaborative filtering on emotion datasets.

stanscofi

Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.

daisyrec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

fneighcf

Python implementation of 'Factor in the neighbors: Scalable and accurate collaborative filtering'

benchscofi

Package which contains implementations of published collaborative filtering-based algorithms for drug repurposing.

mkpyros

Python module for building and evaluating recommender systems for implicit feedback. Full documentation @ http://mkpyros.readthedocs.io/en/latest/

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