#计算机科学#Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
翻译 - 基于深度学习的CTR模型的易于使用,模块化和可扩展的软件包。
Fast inference engine for Transformer models
Tensorflow implementation of DeepFM for CTR prediction.
CTR模型代码和学习笔记总结
#计算机科学#【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
翻译 - 【PyTorch】基于深度学习的CTR模型的易于使用,模块化和可扩展的软件包。
CTR prediction using FM FFM and DeepFM
Criteo/Kaggle Competition of CTR prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Deep-Learning based CTR models implemented by PyTorch
A PyTorch implementation of DeepFM for CTR prediction problem.
a python code of applying GBDT+LR for CTR prediction
Fast CTR DRBG for x86 platforms.
A bitsliced implementation of ECB and CTR AES