A tiny 1000 line implementation of GraphRAG in Python

A CLI tool by Maeiee for managing monorepos with a custom structure using Git submodules.

LLM-based Multi-Agent System Architecture Design Guide and Development Project Practice

A Library for Advanced Deep Time Series Models.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Incremental Knowledge Graphs Constructor Using Large Language Models

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

【三年面试五年模拟】AI算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、SLAM、具身智能、元宇宙、AGI等AI行业面试笔试经验与干货知识。

The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

很多镜像都在国外。比如 gcr 。国内下载很慢，需要加速。致力于提供连接全世界的稳定可靠安全的容器镜像服务。

A modular graph-based Retrieval-Augmented Generation (RAG) system

Local models support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3)- LLM & Embedding extraction

​ 李白 👤 作为唐代杰出诗人，其诗歌作品在中国文学史上具有重要地位。近年来，随着数字技术和人工智能的快速发展，传统文化普及推广的形式也面临着创新与变革。国内外对于李白诗歌的研究虽已相当深入，但在数字化、智能化普及方面仍存在不足。因此，本项目旨在通过构建李白知识图谱，结合大模型训练出专业的AI智能体，以生成式对话应用的形式，推动李白文化的普及与推广。

The lazier way to manage everything docker

Neo4j graph construction from unstructured data using LLMs

Baichuan2代码的逐行解析版本，适合小白

Quill is a modern WYSIWYG editor built for compatibility and extensibility

A lightweight screen recorder based on ScreenCapture Kit for macOS / 基于 ScreenCapture Kit 的轻量化多功能 macOS 录屏工具

💬 Ready-to-use, flexible RAG Chatbot.

《统计学习方法》的代码实现

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

Distribute and run LLMs with a single file.

☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!

cdebug - a swiss army knife of container debugging

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

Effortless data labeling with AI support from Segment Anything and other awesome models.