nfm

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

Recommender Learning with Tensorflow2.x

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

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Co...

CTR模型代码和学习笔记总结

#计算机科学#Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

#计算机科学#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.

#计算机科学#A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.

一些CTR模型和常见特征工程的方法

Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep

A easy library for recommendation system or computational advertising

TOMMY is een topic modelling applicatie die ontwikkeld is door studenten van de Universiteit Utrecht in opdracht van EMMA. Voor het uitvoeren van topic modelling wordt het achterliggende Latent Diric...

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.

Nondeterministic Finite Automaton / Nondeterministic Finite-state Machine

Need for Madness 3

In this repository, I use the SKLearn library to do topic modeling.