#计算机科学#Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
翻译 - 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。
Recommender Learning with Tensorflow2.x
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 Co...
#计算机科学#Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
#计算机科学#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
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.
In this repository, I use the SKLearn library to do topic modeling.
This Repo contains all NFM SmartContracts