Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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Updated
Aug 9, 2024 - Python
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Recommender Learning with Tensorflow2.x
Factorization Machine models in PyTorch
CTR模型代码和学习笔记总结
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)
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
主流推荐系统Rank算法的实现
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.
A easy library for recommendation system or computational advertising
Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep
This Repo contains all NFM SmartContracts
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.
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