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

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

Large batch training of CTR models based on DeepCTR with CowClip.

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Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）

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Experiment results using FM, FFM and DeepFM algorithms in Criteo Display Advertising Challenge(https://www.kaggle.com/c/criteo-display-ad-challenge) dataset

Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型

使用tensorflow2.0复现最新的广告、推荐领域的CTR/CVR模型

一个基于deepctr的视频点击率预估demo---包括数据处理、特征工程及模型训练

DeepCTR on Amazon SageMaker, train and deploy, BYOC and BYOS

various recommend system using xlearn, dlrm using openrec, deepfm and xdeepfm using deepCTR

计算广告 推荐系统

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AI theory & action...

deepctr 和deepmatch 代码阅读

实现点击率预估的深度学习模型

tf2学习过程中联系用的代码，集中在常见的ctr预估算法

An implementation of the Controlling Neural Networks with Rule Representations paper (https://arxiv.org/abs/2106.07804)

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The project contains some common DNN models for predicting click rates such as FNN, PNN, DeepFM, etc., implemented with tensorflow.

对deepctr进行改进，dfm增加多分类版，增加了dfm5折训练代码

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smote flen deepctr

test script for deepctr

original： https://github.com/shenweichen/DeepCTR

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