The multi-agent toolkit: framework, runtime, and control plane.

Code for our WWW'23 paper. Fairly Adaptive Negative Sampling for Recommendations

A powerful tool for creating fine-tuning datasets for LLM

[TMLR 2025] A general framework for bridging LLMs and recommendation systems via reinforcement learning. https://arxiv.org/pdf/2503.24289

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

Adaptive Hardness Negative Sampling for Collaborative Filtering, AAAI2024

This repository collects 100 papers related to negative sampling methods.

IRGAN SIGIR paper experimental code

The last data dump of Freebase with introductory explanation of its schema

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

An Open-sourced Knowledgable Large Language Model Framework.

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Code for ACM RecSys 2023 paper "Turning Dross Into Gold Loss: Is BERT4Rec really better than SASRec?"

Pytorch implementation of BERT4Rec and Netflix VAE.

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Must-read papers on graph neural networks (GNN)

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

SASRec: Self-Attentive Sequential Recommendation

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

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

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

🔊 Text-Prompted Generative Audio Model

Examples and guides for using the OpenAI API