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The latest graphrag interface is used, using the local ollama to provide the LLM interface.Support for using the pip installation
本项目是自动化学报中AUTOPLAN的代码地址，使用大语言模型完成了复杂任务的任务规划以及任务执行
JetBrains theme of Material Theme
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
Incremental Knowledge Graphs Constructor Using Large Language Models
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Repository for “PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers”, NAACL24
Neo4j graph construction from unstructured data
[NeurIPS 2024] SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challen…
A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
Typora最新的激活破解方案，三步即激活。 😊实时更新中/👩🎓学生党必备，有条件支持正版的请不要点开🔞🈲️。Activate Typora
Python sample codes for robotics algorithms.
A thin python-binding of OMPL motion planning library (*For my own research)
ArcGIS API For Javacsript基础教程代码实例及相应数据
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
A cloud-native vector database, storage for next generation AI applications
Define and run multi-container applications with Docker
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs
Semantic Evidence aware Graph Neural Network (SE-GNN) for Knowledge Graph Embedding task (AAAI'22).