A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
multi task mode for esmm and mmoe
MMoE-TF2.0
Google多任务模型MMoE
TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.
多任务学习MMOE和PLE
基于ESMM、MMoE和deepFM的多目标模型
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