Welcome to DeepCTR-Torch’s documentation!

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DeepCTR-Torch 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 PyTorch.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-Torch and DeepCTR for tensorflow version.

News

03/27/2020 : Add DIN and DIEN . Changelog

01/31/2020 : Refactor feature columns . Support double precision in metric calculation . Changelog

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

Indices and tables