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

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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.

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DeepCTR-Torch

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

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Ad-papers

Papers on Computational Advertising

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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.)

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Awesome-LLM-for-RecSys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

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rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

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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)

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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.

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mamba

Mamba SSM architecture

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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"

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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DBRL

Dataset Batch(offline) Reinforcement Learning for recommender system

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

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DORL-codes

Source codes for our SIGIR '23 paper

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RL4RS

A Real-World Benchmark for Reinforcement Learning based Recommender System

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awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

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D4RL

A collection of reference environments for offline reinforcement learning

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awesome-diffusion-model-in-rl

A curated list of Diffusion Model in RL resources (continually updated)

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PyTorch-CPO

PyTorch implementation of Constrained Policy Optimization

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Constrained-Decision-Making-Paper-List

Paper list for constrained policy optimization in reinforcement learning.

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NLP4Rec-Papers

Paper list of NLP for recommender systems

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RSPapers

A Curated List of Must-read Papers on Recommender System.

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Mastering-Transformers

Mastering Transformers, published by Packt

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DRL

Deep Reinforcement Learning

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Python-100-Days

Python - 100天从新手到大师

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ConvE

Convolutional 2D Knowledge Graph Embeddings resources

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