mmoe

#计算机科学#Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

#计算机科学#A PyTorch Library for Multi-Task Learning

#计算机科学#MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

#计算机科学#主流推荐系统Rank算法的实现

multi task mode for esmm and mmoe

用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。

#计算机科学#学习并复现经典的推荐系统多目标任务，如：SharedBottom、ESMM、MMoE、PLE

基于ESMM、MMoE和deepFM的多目标模型

A simple package about multi-task recommendation

A framework for Ranked List Truncation, including the implementation of multiple existing deep models, such as BiCut、Choopy and AttnCut. And we propose the multi-task model based on these models.

#计算机科学#A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area

Feature engineering Wechat video channel for multi-task model