Stars
GRID: Generative Recommendation with Semantic IDs
A unified, comprehensive and efficient recommendation library
Learnable Item Tokenization for Generative Recommendation (Most Cited Paper at CIKM'24)
This is our implementation for the paper: Pan Li and Alexander Tuzhilin. "DDTCDR: Deep Dual Transfer Cross Domain Recommendation." Proceedings of the 13th International Conference on Web Search and…
This is a library built upon RecBole for cross-domain recommendation algorithms
2026TAAC腾讯广告算法大赛-KDDCUP方案，best score：0.832321，rank：51
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
[AAAI26 Oral] "SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection" and [ICML 26] "Unifying Heterogeneous Multi-Modal Remote Sensing Detection Via Language-Pivoted Pretraining"
RecData: A curated collection of recommendation datasets with trackable dataset IDs
免费大模型API，支持免费调用GPT、DeepSeek等主流模型，免费额度10000点，每日刷新！另付费价格最低官方1-2折！
Bridging LLM and Recommender System.
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
CS336-Spring 2025 Assignment 5: Alignment （SFT & DPO & GRPO）
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
👀《统计学习方法-李航》学习笔记 200 页 PDF，各种手推公式细节讲解，包含详细的目录以及R语言代码实现，可结合《统计学习方法》提高学习效率，适合机器学习、深度学习初学者。
✨✨Latest Advances on Multimodal Large Language Models
[NeurIPS 2025] Image editing is worth a single LoRA! 0.1% training data for fantastic image editing! Surpasses GPT-4o in ID persistence~ MoE ckpt released! Only 4GB VRAM is enough to run!
Official inference repo for FLUX.1 models
Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
Resource Management with Deep Reinforcement Learning (HotNets '16)