akajinchen

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Recommender_System

推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning models based on TensorFlow2, how to implement the high-performance、high-concurrency and high-available inference services base on Golang.

dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

SELFRec

An open-source framework for self-supervised recommender systems.

Generative-AI-Tutorial

A subjective learning guide for generative AI research

GiffCF

Official implementation of "Graph Signal Diffusion Model for Collaborative Filtering" (SIGIR 2024)

GraphMAE2

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

DiffRec

Diffusion Recommender Model

SearchEngine

搜索引擎原理

RecommenderSystem

fun-rec

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

torch-rechub

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

AlgoNotes

【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

RecAlgorithm

主流推荐系统Rank算法的实现

RecSysPapers

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.

SeeGera

vgae_pytorch

This repository implements variational graph auto encoder by Thomas Kipf.

sigvae-torch

A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders

SIGraphVAE

Awesome-Masked-Autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

AUG-MAE

Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.

GraphMAE

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

MultimodalRecSys

A curated list of awesome resources about multimodal recommender systems.

awesome-graph-self-supervised-learning

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

AI-RecommenderSystem

该仓库尝试整理推荐系统领域的一些经典算法模型

QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

gdc

Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)

recommenders

Best Practices on Recommendation Systems

google-research

Google Research