iscong

iscong's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.4k4.3k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  19.6k1.6k

• brucetony/pyorientdb

  OrientDB driver for Python that uses the binary protocol.

  Language:Python61

• nageoffer/12306

  🔥 官方推荐 🔥 大学春招、秋招、应届项目，SpringBoot3 + Java17 + SpringCloud Alibaba + Vue3 等技术架构，完成高仿铁路 12306 用户 + 抢票 + 订单 + 支付服务，帮助学生主打就业的项目。

  Language:Java2.8k246

• chenyonglovecoding/12306

  12306铁路购票系统

  Language:Java62

• WLiK/LLM4Rec-Awesome-Papers

  A list of awesome papers and resources of recommender system on large language model (LLM).

  1.5k127

• OpenSPG/KAG

  KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

  Language:Python1.5k110

• zhaochenyang20/Prompt2Model-Self-Guide

  SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. COLM 2024 Accepted Paper

  Language:Python293

• Louis-tiany/Military-KG

  领域知识图谱数据采集、数据处理以及可视化

  Language:Vue6312

• mobilegptsys/MobileGPT

  Language:Python102

• MobileLLM/AutoDroid

  Source code for the paper "Empowering LLM to use Smartphone for Intelligent Task Automation"

  Language:Python29243

• talkgo/read

  Go 学习之路：Go 开发者博客、Go 微信公众号、Go 学习资料（文档、书籍、视频）

  Language:Go6.2k811

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  339k28.1k

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python96.4k9.7k

• yudaocode/SpringBoot-Labs

  一个涵盖六个专栏：Spring Boot 2.X、Spring Cloud、Spring Cloud Alibaba、Dubbo、分布式消息队列、分布式事务的仓库。希望胖友小手一抖，右上角来个 Star，感恩 1024

  Language:Java19.3k6k

• JeffLi1993/springboot-learning-example

  spring boot 实践学习案例，是 spring boot 初学者及核心技术巩固的最佳实践。

  Language:Java16.4k7.1k

• EHEWON/ezwork-ai-doc-translation

  EZ-Work AI文档翻译，人人可用的开源AI文档翻译助手，可以快速低成本调用OpenAI等大语言模型api，帮助您实现txt/markdown/word/csv/excel/pdf/ppt的文档翻译。

  Language:Dockerfile15115

• WANGRUOSONG-git/Chinese_PPT_translation_into_Korean-Chinese

  一键将中文PPT翻译成中韩双语的，解决了市面上只能翻译成单一语言的问题,方便留学韩国的各位发表使用。按照要求制作中文ppt，一字不改即可生成。

  Language:Python1

• RManLuo/reasoning-on-graphs

  Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

  Language:Python34646

• IDEA-FinAI/ToG

  This is the official github repo of Think-on-Graph (ICLR 2024). If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengjin@idea.edu.cn)

  Language:Python44348

• wey-gu/NebulaGraph-GPT

  Help Compose your NebulaGraph Queries

  Language:TypeScript328

• pengboci/GraphRAG-Survey

  1254

• wenqiglantz/llamaindex_nebulagraph_phillies

  7 query strategies for navigating knowledge graphs with LlamaIndex

  Language:Jupyter Notebook415

• slvarun/Graph_Rag

  This project is a Graph-based Retrieval-Augmented Generation (RAG) system using Neo4j, LangChain, and Streamlit. It stores uploaded text documents in a graph database and uses LLMs and vector search to retrieve relevant information. Users can query in natural language, and the system returns structured and unstructured data-based answers.

  Language:Python1

• sagarcloud17/RAG-with-Neo4j-Graph-Database-and-Google-s-Gemma2-9B-LLM-model

  This repository showcases an innovative implementation of Retrieval-Augmented Generation (RAG) using the Neo4J graph database and Google's Gemma 9B Large Language Model (LLM). This approach leverages the strengths of both technologies to generate high-quality outputs

  Language:Jupyter Notebook1

• guszejnovdavid/Neo4j_RAG_POC

  Proof of concept for a Retrieval Augmented Generation model using a Neo4j graph database of StackOverflow posts

  Language:Python11

• s3dhanth/GraphRAG-with-Hermes-2.5-Pro-LLM-using-neo4j-database

  This project involves the implementation of a graph-based data storage and retrieval system using Neo4j, a powerful graph database, for the Hermes 2 Pro LLM model. The Neo4j database is deployed as a Docker container to ensure a scalable and isolated environment. The integration enables the Hermes 2 Pro model to efficiently handle complex relations

  Language:Jupyter Notebook2

• CS-Edwards/advRAG

  Advanced retrieval augmented generation pipeline implementation with both a vector database and knowledge graph as the knowledge source used to ground responses to input queries.

  Language:Jupyter Notebook41

• PromptExpert/blogs

  601

• aalansehaiyang/technology-talk

  【大厂面试专栏】一份Java程序员需要的技术指南，这里有面试题、系统架构、职场锦囊、主流中间件等，让你成为更牛的自己！

  14.3k3.8k