Easy-to-use,Modular and Extendible package of deep learning based CTR(Click Through Rate) prediction models with PyTorch
Project description
DeepCTR-Torch
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()
.Install through pip install -U deepctr-torch
.
Let's Get Started!(Chinese Introduction)
Models List
DisscussionGroup & Related Projects
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公众号:浅梦的学习笔记 |
微信:deepctrbot |
Contributors(welcome to join us!)
Shen Weichen Core Dev |
Wang Ze Core Dev |
Zhang Wutong Core Dev |
Zan Shuxun Core Dev |
Zhang Yuefeng Core Dev |
Huo Junyi Core Dev |
Zeng Kai Dev |
Chen K Dev |
Tang Test |
Xu Qidi Dev |
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