There are 1 repository under nfm topic.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Factorization Machine models in PyTorch
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
基于 Pytorch 实现推荐系统相关的算法
主流推荐系统Rank算法的实现
Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.
Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep
一些CTR模型和常见特征工程的方法
A easy library for recommendation system or computational advertising
Several wines are analyzed in order to gain insights on what features affect a wine's rating using logistic regressions models, kNN algorithms, topic modeling, LDA, and Gensim models.
Yet another FM demodulator as a way for me to spend (i.e. waste) my spare time playing with different ways to learn DSP.
This Repo contains all NFM SmartContracts
In this repository, I use the SKLearn library to do topic modeling.