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Search results for deep learning ctr
ctr
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deep-learning
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17 search results found
Deepctr
⭐
7,181
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Deepctr Torch
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2,365
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Sparrowrecsys
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1,634
A Deep Learning Recommender System
Tensorflow Deepfm
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1,452
Tensorflow implementation of DeepFM for CTR prediction.
Awesome Deep Learning Papers For Search Recommendation Advertising
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1,167
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Recsys
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815
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Deeprec
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723
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Ml_cia
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428
公众号: 机器学习荐货情报局 所有代码
Dsin
⭐
405
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Deep Ctr Prediction
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389
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Ctr
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253
CTR模型代码和学习笔记总结
Wide_deep
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215
Wide and Deep Learning for CTR Prediction in tensorflow
Go Ctr
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184
Go DeepLearning based Recommendation Framework
Prediction Flow
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136
Deep-Learning based CTR models implemented by PyTorch
Recalgorithm
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104
主流推荐系统Rank算法的实现
Largebatchctr
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96
Large batch training of CTR models based on DeepCTR with CowClip.
Oneflow Benchmark
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95
OneFlow models for benchmarking.
Torecsys
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88
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
Django_web
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60
✨ DJANGO3.1 网站,集成用户管理,文章博客管理,算法模型可视化系统等功能
Ctr_keras
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59
LR, Wide&Deep, DCN, NFM, DeepFM, NFFM
Ctr Prediction
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56
Sharing the CTR Prediction original paper and personal study notes
Tensorflow In Practice
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33
Code based in TensorFlow
Lightctr
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32
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
Recommendation_papers
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24
paper collection for recommendation aspet
Din
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17
keras implementation about Deep Interest Network
Paddleai
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16
用PaddlePaddle实现的真实案例和有趣应用
Outbrain Ctr Character Level Cnn Tf
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15
Convolutional Neural Network for Click-Through Rate prediction.
Details In Recommendation
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14
Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendation.
Paddlepaddle 7 Days Deeplearning
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11
PaddlePaddle
Wide And Deep In Keras
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11
This codes is used for computing the CTR in a recommendation system.
Deeprec Torch
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8
Easy-to-use pytorch-based framework for RecSys models
Alitanet
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8
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.
Torchctr
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8
Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP
Recommendation_system
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7
Deep learning network for CTR : FM, DeepFM, PNN, NFM, DCN, Wide&Deep
Ad Paper
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7
Deep_learning
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6
Torchctr
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6
CTR Prediction on PyTorch
Explicithighorderinteraction Keras
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5
Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.
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