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base on chinese stock market data
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
Python tool for converting files and office documents to Markdown.
E2M converts various file types (doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, m4a) into Markdown. It’s easy to install, with dedicated parsers and converters, supporting custom configs. E2…
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
KDD 2019 hands-on tutorial
Curated tutorials and resources for Large Language Models, AI Painting, and more.
Learning Large Language Model (LLM）(大语言模型学习)
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
a collection of resources around LLMs, aggregated for the workshop "Mastering LLMs: End-to-End Fine-Tuning and Deployment" by Dan Becker and Hamel Husain"
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
🧑🚀 全世界最好的LLM资料总结（数据处理、模型训练、模型部署、o1 模型、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Make Zotero's citation in Word easier and clearer.
Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。
These are different tools which are related to integration in domain OWL/RDF. The goal is to analyze different approaches for integration rules and use them in Alligator project.
Insightful Tutorials and Papers about Knowledge Graphs
ORR - Ontology Registry & Repository integrated system
Repository concerning data scraping and data integration for the Knowledge Graph Engineering course of the master's degree in Computer Science at University of Trento