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 .
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
fastFM: A Library for Factorization Machines
Factorization Machine models in PyTorch
DeepTables: Deep-learning Toolkit for Tabular data
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)
TenforFlow Implementation of Neural Factorization Machine
TensorFlow Implementation of Attentional Factorization Machine
Some deep learning based recsys for open learning.
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
A library for factorization machines and polynomial networks for classification and regression in Python.
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
🌊 FluRS: A Python library for streaming recommendation algorithms
零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结
This repo includes some graph-based CTR prediction models and other representative baselines.
a simple yet versatile recommendation systems library in python
Attention,Factorization Machine, Deep Learning, Recommender System
A Theano-based Python implementation of Factorization Machines (Rendle 2010).
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