”fibinet“ 的搜索结果

#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。

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

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

DeepTables: Deep-learning Toolkit for Tabular data

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

CTR模型代码和学习笔记总结

源于飞桨生态的搜索推荐模型 一站式开箱即用工具，适合初学者，开发者，研究者的推荐系统全流程解决方案。包含内容理解、匹配、召回、排序、 多任务、重排序等多个任务的完整推荐搜索算法库

FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction. pytorch implementation

主流推荐系统Rank算法的实现

AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.