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This is the official code release of the following paper: Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang and Xueqi Cheng. Temporal Knowledge Graph Reasoning …
Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property c…
Code and data for the publication "Structured information extraction from scientific text with large language models" by Dagdelen & Dunn et al.
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.一键免费部署你的私人AutoGPT 网页应用
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
这是一份入门AI/LLM大模型的逐步指南，包含教程和演示代码，带你从API走进本地大模型部署和微调，代码文件会提供Kaggle或Colab在线版本，即便没有显卡也可以进行学习。项目中还开设了一个小型的代码游乐场🎡，你可以尝试在里面实验一些有意思的AI脚本。同时，包含李宏毅 (HUNG-YI LEE）2024生成式人工智能导论课程的完整中文镜像作业。
11 Lessons to Get Started Building AI Agents
train 3 GNNs(GCN, GAT, GraphSAGE) on Cora, Citeseer and Pubmed respectively, and compared their performance
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
A search engine dedicated to CS conferences. It provides useful filters for conferences and year range.
Learning Large Language Model (LLM）(大语言模型学习)
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Multimodal Knowledge Graph Application
A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
Implementation of Logic Attention Network in Tensorflow
The official implementation of "A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs" (NeurIPS 2023)
GraphRAG using Local LLMs - Features robust API and multiple apps for Indexing/Prompt Tuning/Query/Chat/Visualizing/Etc. This is meant to be the ultimate GraphRAG/KG local LLM app.
基于大模型+知识图谱的知识库问答
Using GPT to organize and access information, and generate questions. Long term goal is to make an agent-like research assistant.
中文医学知识图谱命名实体识别，包括bi-LSTM+CRF，transformer+CRF等模型
赛博医生项目——”赛博华佗“，基于多模态大模型的多功能智能体，一键搭建本地多模态大模型。接入医疗健康相关的知识图谱和知识库后可以进行疾病初诊，病历分析，专业知识问答等功能，成为你的私人医生。赛博华佗项目能帮助实现医疗资源的跨地域传播，让更多人借助大模型改善健康水平。"Cyber Huatuo" - Easy to build a personal doctor agent based o…