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shenweichen /DeepCTR

Star7.7k

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

deep-learning factorization-machines recommendation mlr ffm ctr din deepfm click-through-rate ple xdeepfm deepinterestnetwork nfm deepcross autoint esmm dien deepinterestevolutionnetwork fgcnn mmoe

UpdatedAug 9, 2024
Python

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，AutoFI…

word2vec tdm lr deepfm ple esmm gru4rec widedeep mmoe

UpdatedFeb 12, 2025
Python

median-research-group /LibMTL

Star2.2k

A PyTorch Library for Multi-Task Learning

python deep-learning pytorch multi-objective-optimization multiobjective-optimization mtl multi-task-learning ple multitask-learning mmoe multi-domain-learning

UpdatedFeb 18, 2025
Python

huangjunheng /recommendation_model

Star594

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

afm pytorch fm afn mf dcn dcap deepfm ple nfm autoint fibinet deepconn dcnv2 widedeep mmoe onn

UpdatedMar 14, 2022
Python

UlionTse /mlgb

Star572

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」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。

machine-learning deep-learning recommender-system mind ctr-prediction dcn din dssm deepfm ple xdeepfm pnn autoint esmm fibinet dsin mmoe edcn masknet pepnet

UpdatedMar 2, 2025
Python

tangxyw /RecAlgorithm

Star231

UpdatedOct 25, 2023
Python

basf /mamba-tabular

Star199

Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.