summer-sea Goto Github PK

adversarial-recommender-systems-survey

adversarialnetspapers

Awesome paper list with code about generative adversarial nets

amlrecsys-tutorial

Tutorial by Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra at WSDM 2020 about Adversarial Machine Learning in Recommender Systems

amr

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

apoir

Adversarial Point-of-Interest Recommendation

aush

autologin

cbasic

C语言基础，部分算法，数据结构，部分习题

code

A Black-Box Attack Model for Visually-AwareRecommender Systems - Source Code

competition_baselines

开源的各大比赛baseline

cricket

一个舒服的社区

cs229-auto-paper-review

CS229 Final Project

cskaoyan

提供计算机考研和软件工程考研专业的各个学校 考研真题

data-poisoning-attacks-on-factorization-based-collaborative-filtering

Data poisoning attack of recommend system using the algorithm of MF.

datasets-for-recommender-systems

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deeplearing-interview-awesome-2024

We'll cover some of the most common Deep Learning Interview Questions and answers and provide detailed answers to help you

dendy

NES/Famicom emulator with network multiplayer

diffsinger

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

gnn_review

GNN综述阅读报告

goat

grace

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

graphrfi

handson-recsys2020

Live coding session presented at RecSys 2020

hibernate

some thing about the hibernate which included ..

hugging_face_competition

hugging_face_competition

hypergcn

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

javamiscellaneous

ssm框架和一些Java基础demo，线程，数组，数据结构算法等

jctest-mav

jctest-mav-test