yue-yue-haha's starred repositories
hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
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.
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Internet-advertising-mechanism-and-strategy
计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)
Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Diff4RLSurvey
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
DORL-codes
Source codes for our SIGIR '23 paper
awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
awesome-diffusion-model-in-rl
A curated list of Diffusion Model in RL resources (continually updated)
PyTorch-CPO
PyTorch implementation of Constrained Policy Optimization
Constrained-Decision-Making-Paper-List
Paper list for constrained policy optimization in reinforcement learning.
NLP4Rec-Papers
Paper list of NLP for recommender systems
Mastering-Transformers
Mastering Transformers, published by Packt
Python-100-Days
Python - 100天从新手到大师