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GitHub - shenweichen/DeepCTR-PyTorch: 【In progress,call for contributers!!】Eas...
source link: https://github.com/shenweichen/DeepCTR-PyTorch
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README.md
DeepCTR-PyTorch
PyTorch version of DeepCTR.
DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can be used to build your own custom model easily.You can use any complex model with model.fit()and model.predict() .
Let's Get Started!(Chinese Introduction)
Call for contributers
This project is under development and we need developers to participate in the construction.
If you
- familiar and interested in CTR models
- familiar with pytorch(both pytorch and tensorflow better)
- have spare time to learn and develop
- familiar with git
please send a brief introduction of your background and experience to [email protected], welcome to join us!
Models List
Model Paper Convolutional Click Prediction Model [CIKM 2015]A Convolutional Click Prediction Model Factorization-supported Neural Network [ECIR 2016]Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction Product-based Neural Network [ICDM 2016]Product-based neural networks for user response prediction Wide & Deep [DLRS 2016]Wide & Deep Learning for Recommender Systems DeepFM [IJCAI 2017]DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Piece-wise Linear Model [arxiv 2017]Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction Deep & Cross Network [ADKDD 2017]Deep & Cross Network for Ad Click Predictions Attentional Factorization Machine [IJCAI 2017]Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks Neural Factorization Machine [SIGIR 2017]Neural Factorization Machines for Sparse Predictive Analytics xDeepFM [KDD 2018]xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems AutoInt [arxiv 2018]AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Deep Interest Network [KDD 2018]Deep Interest Network for Click-Through Rate Prediction Deep Interest Evolution Network [AAAI 2019]Deep Interest Evolution Network for Click-Through Rate Prediction NFFM [arxiv 2019]Operation-aware Neural Networks for User Response Prediction FGCNN [WWW 2019]Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction Deep Session Interest Network [IJCAI 2019]Deep Session Interest Network for Click-Through Rate Prediction FiBiNET [RecSys 2019]FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate PredictionRecommend
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