MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

A collection of research works about causal inference for recommender systems, including papers and code.

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

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

Factorization Machine models in PyTorch

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

Ad papers.

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESM…

BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS

我的自学笔记，终身更新，当前专注System基础、MLSys。

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

Pytorch🍊🍉 is delicious, just eat it! 😋😋

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

An Open Source Machine Learning Framework for Everyone

推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

Solution to the Debiasing Track of KDD CUP 2020

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework

🦜🔗 Build context-aware reasoning applications

这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。

Topic Modelling for Humans

推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

Inference code for LLaMA models

A TensorFlow Implementation of the Transformer: Attention Is All You Need

SASRec: Self-Attentive Sequential Recommendation

Code for ACL 2022 Paper "SUMM^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents"

InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning