mmoe

There are 3 repositories under mmoe topic.

DeepCTR
shenweichen / DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
autoint click-through-rate ctr deep-learning deepcross deepfm deepinterestevolutionnetwork deepinterestnetwork dien din esmm factorization-machines ffm fgcnn mlr mmoe nfm ple recommendation xdeepfm
Language:Python 7384
PaddlePaddle / PaddleRec
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等
ple deepfm mmoe word2vec gru4rec tdm esmm widedeep lr
Language:Python 4131
median-research-group / LibMTL
A PyTorch Library for Multi-Task Learning
deep-learning mmoe mtl multi-domain-learning multi-objective-optimization multi-task-learning multiobjective-optimization multitask-learning ple python pytorch
Language:Python 1781
huangjunheng / recommendation_model
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
pytorch mf fm deepconn mmoe ple deepfm nfm dcn afm autoint onn fibinet widedeep dcnv2 afn dcap
Language:Python 470
UlionTse / mlgb
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
ctr-prediction deep-learning machine-learning recommender-system autoint dcn deepfm din dssm esmm fibinet mind mmoe ple pnn edcn masknet pepnet xdeepfm dsin
Language:Python 319
tangxyw / RecAlgorithm
主流推荐系统Rank算法的实现
recommendation ffm pnn nfm afm dcn deepcrossing wide-and-deep deepfm xdeepfm din bst fibinet mmoe esmm ple deep-learning ranking ctr
Language:Python 151
busesese / MultiTaskModel
multi task mode for esmm and mmoe
esmm mmoe pytorch multitask-learning recommendation-algorithms
Language:Python 111
YinzhenWan / recome_wan
用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。
dcn deepfm fibinet mmoe comirec gru4rec mind line lightgcn youtubednn node2vec deepwalk din graphsage sdne eges
Language:Python 29
Gavince / MTL
学习并复现经典的推荐系统多目标任务，如：SharedBottom、ESMM、MMoE、PLE
recommendsystem python3 pytroch mmoe ple deep-learning mtl
Language:Jupyter Notebook 27
chenwr727 / esmm_mmoe_deepfm
基于ESMM、MMoE和deepFM的多目标模型
esmm mmoe deepfm multitask-learning
Language:Python 22
ZiyaoGeng / MTRec
A simple package about multi-task recommendation
mmoe multi-task multi-task-learning recommender-system
Language:Python 16
Woody5962 / Ranked-List-Truncation
A framework for Ranked List Truncation, including the implementation of multiple existing deep models, such as BiCut、Choopy and AttnCut. And we propose the multi-task model based on these models.
information-retrieval ranked-list-truncation bicut choopy attncut mmoe multi-task-learning
Language:Jupyter Notebook 10
whw199833 / gbiz_torch
A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area
advertisement bert4rec dcn deep-learning deepfm dnn embedding-models esmm fbas mmoe recommendation recommendation-system transformers-models wide-and-deep
Language:Python 1
brchung2 / tech_review
Review on Google's multitask ranking system by comparing to other methods used in recommender systems
mmoe mixture-of-experts multi-task-learning wide-and-deep-framework learn-to-rank
0

mmoe

shenweichen / DeepCTR

PaddlePaddle / PaddleRec

median-research-group / LibMTL

huangjunheng / recommendation_model

UlionTse / mlgb

tangxyw / RecAlgorithm

busesese / MultiTaskModel

YinzhenWan / recome_wan

Gavince / MTL

chenwr727 / esmm_mmoe_deepfm

ZiyaoGeng / MTRec

Woody5962 / Ranked-List-Truncation

whw199833 / gbiz_torch

brchung2 / tech_review