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tensorflow
tensorflow-recommenders

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

198K 2K 299
NicolasHug
scikit-surprise

A Python scikit for building and analyzing recommender systems

129K 7K 1K
RUCAIBox
recbole

A unified, comprehensive and efficient recommendation library

125K 4K 743
lyst
lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

61K 5K 727
recommenders-team
recommenders

Best Practices on Recommendation Systems

24K 22K 3K
AstraZeneca
rexmex

A general purpose recommender metrics library for fair evaluation.

2K 277 25
alibaba
pyalink

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

1K 4K 788
alibaba
pyalink-flink-1-11

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

849 4K 788
alibaba
pyalink-flink-1-10

Alink Python API

744 4K 788
recommend-games
board-game-recommender

Board game recommendation engine

728 15 0
microsoft
pre-reco-utils

Best Practices on Recommendation Systems

673 22K 3K
alibaba
pyalink-flink-1-9

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

574 4K 788
microsoft
pysarplus

Best Practices on Recommendation Systems

555 22K 3K
EdoardoBotta
rectokens

A tokenizer library for sequential recommendation systems

494 4 0
alibaba
pyalink-flink-1-12

Alink Python API

474 4K 788
NicolasHug
scikit-surprise-2

A Python scikit for building and analyzing recommender systems

315 7K 1K
beomso0
ezsasrec

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

241 10 1
klauscfhq
moviebox

Machine learning movie recommending system

220 529 54
microsoft
recommender-utils

Recommender System Utilities

202 22K 3K
healthbadge
episimmer

Epidemic Simulation Platform

179 16 3
jeh0753
sparsemf

Open source matrix factorization recommender for sparse matrices

65 9 4
sepandhaghighi
telecheck

Telegram ID Recommender

32 15 1
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