Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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Updated
Mar 25, 2023 - Python
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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…
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Tensorflow implementation of DeepFM for CTR prediction.
Recommender Learning with Tensorflow2.x
A framework for large scale recommendation algorithms.
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Factorization Machine models in PyTorch
TensorFlow Script
DeepTables: Deep-learning Toolkit for Tabular data
This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.
CTR模型代码和学习笔记总结
A PyTorch implementation of DeepFM for CTR prediction problem.
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Deep-Learning based CTR models implemented by PyTorch
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