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
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
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
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
主流推荐系统Rank算法的实现
基于 Pytorch 实现推荐系统相关的算法
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
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.