Welcome to DeepCTR’s documentation!

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DeepCTR is a Easy-to-use , Modular and Extendible package of deep-learning based CTR models along with lots of core components layer which can be used to build your own custom model easily.It is compatible with tensorflow 1.4+ and 2.0+.You can use any complex model with model.fit() and model.predict().

Let’s Get Started! (Chinese Introduction)

You can read the latest code at https://github.com/shenweichen/DeepCTR

News

11/06/2019 : Add WeightedSequenceLayer and support weighted sequence feature input. Changelog

10/03/2019 : Simplify the input logic(examples). Changelog

09/22/2019 : DeepCTR-Torch first version v0.1.0 is released on PyPi !

Indices and tables