Pinned Repositories
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）
Rec_FiBiNet-
ffffkl's Repositories
ffffkl/Rec_FiBiNet-
ffffkl/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
ffffkl/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
ffffkl/Analysis-of-Optimization-Methods-of-CNN
ffffkl/BARS
BARS: Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
ffffkl/CaseRecommender
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
ffffkl/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~
ffffkl/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）
ffffkl/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
ffffkl/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
ffffkl/EulerNet
This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction".
ffffkl/fun-rec
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
ffffkl/FuxiCTR
A curated model zoo for CTR prediction https://fuxictr.github.io/tutorials
ffffkl/GraphCTR
This repo includes some graph-based CTR prediction models and other representative baselines.
ffffkl/LibRecommender
Versatile End-to-End Recommender System
ffffkl/neural_collaborative_filtering
Neural Collaborative Filtering
ffffkl/NeuRec
Next RecSys Library
ffffkl/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，
ffffkl/RecBole
A unified, comprehensive and efficient recommendation library
ffffkl/RecLearn
Recommender Learning with Tensorflow2.x
ffffkl/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！
ffffkl/recommenders
Best Practices on Recommendation Systems
ffffkl/RS-Adversarial-Learning
A curated collection of adversarial attack and defense on recommender systems.
ffffkl/screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
ffffkl/SDLib
A Python library used to collect shilling detection methods and generate simulated attackers. (for academic use)
ffffkl/SecKill
ffffkl/ShillingAttack
This repository contains our implementations for Shilling Attacks against Recommender Systems.
ffffkl/Spring-IoC
ffffkl/Surprise
A Python scikit for building and analyzing recommender systems
ffffkl/TrialAttack
Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021)