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adversarial-recommender-systems-survey

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dim

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

ai-recommendersystem

该仓库尝试整理推荐系统领域的一些经典算法模型

analysis-of-optimization-methods-of-cnn

bars

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

caserecommender

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

ctr_algorithm

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

deepctr

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

deepctr-torch

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

deepinterestnetwork

dien

eulernet

This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction".

fignn

利用图神经网络进行CTR预估

fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

fuxictr

A curated model zoo for CTR prediction https://fuxictr.github.io/tutorials

graphctr

This repo includes some graph-based CTR prediction models and other representative baselines.

interesting-python

有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

librecommender

Versatile End-to-End Recommender System

neural_collaborative_filtering

Neural Collaborative Filtering

neurec

Next RecSys Library

note-of-interview

《互联网面试笔记》收集和分析互联网常见面试题，并将这些面试知识整理成文方便大家查阅。主要是面向java程序员，但基础知识部分不同语言程序员(c,c++,python等）都可以参考。---持续更新中, 欢迎编辑~

paddlerec

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、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，

pwc

This repository is no longer maintained.

rec_fibinet-

recbole

A unified, comprehensive and efficient recommendation library

reclearn

Recommender Learning with Tensorflow2.x

recommend-system-tf2.0

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！

recommenders

Best Practices on Recommendation Systems