Topic: xdeepfm Goto Github
Some thing interesting about xdeepfm
Some thing interesting about xdeepfm
xdeepfm,DeepTables: Deep-learning Toolkit for Tabular data
Organization: datacanvasio
Home Page: https://deeptables.readthedocs.io
xdeepfm,Reusable deep learning models for recommendation systems
User: dev-wei
xdeepfm,CTR模型代码和学习笔记总结
User: dsxiangli
xdeepfm,A easy library for recommendation system or computational advertising
User: end-the-cold-night
xdeepfm,LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
User: hirosora
xdeepfm,AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.
User: ife1er
xdeepfm,Implements of Awesome RecSystem Models with PyTorch/TF2.0
User: jianzhouzhan
xdeepfm,2018腾讯社交广告33名;
User: john-yao
xdeepfm,some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
User: qian135
xdeepfm,CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
User: qiaoguan
Home Page: https://github.com/qiaoguan/deep-ctr-prediction
xdeepfm,Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.
User: shawnyxiao
xdeepfm,Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
User: shenweichen
Home Page: https://deepctr-doc.readthedocs.io/en/latest/index.html
xdeepfm,【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
User: shenweichen
Home Page: https://deepctr-torch.readthedocs.io/en/latest/index.html
xdeepfm,rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。
User: shibing624
xdeepfm,主流推荐系统Rank算法的实现
User: tangxyw
xdeepfm,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。
User: uliontse
xdeepfm,Recommender Learning with Tensorflow2.x
User: ziyaogeng
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