Welcome to DeepCTR-Torch’s documentation!¶
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¶
12/05/2020 : Imporve compatibility & fix issues.Add History callback(example). Changelog
10/18/2020 : Add DCN-M and DCN-Mix . Add EarlyStopping and ModelCheckpoint callbacks(example). Changelog
10/09/2020 : Improve the reproducibility & fix some bugs. Changelog
