🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
agentagentsai-agentschatgptdeep-learninggenerative-ailanguage-modelllms
Source: GitHub repository metadata.
Repository search
Find public projects in our local index, with related guides and tools from MetaCyberGuru. Your search is not sent to GitHub.
Explore topic collections for selection checklists and useful search examples.
735 matching repositories.
5,477 indexed in total. Latest successful discovery check: 2026-11-08 09:40:22 UTC.
List of awesome hosting sorted by minimal plan price
aiclawdbotclouddatabasedeepseek-r1freehostingiaas
Source: GitHub repository metadata.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
big-data-analyticsdata-analysisdata-explorationdata-profilingdata-qualitydata-sciencedeep-learningeda
Source: GitHub repository metadata.
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
aibigdatacloud-nativedatabaseelasticsearchgeospatiallakehouseolap
Source: GitHub repository metadata.
🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
chatbideepseekllmnl2sqlragsqlbottext-to-sqltext2sql
Source: GitHub repository metadata.
BISHENG is an open-source enterprise Agent platform for building, deploying, and managing AI applications. It combines AI agents, workflows, RAG and knowledge management, desktop agent integration, and vibecoding app hosting with unified model management, evaluation, observability, access control, and enterprise administration.
agentaichatbotdshdsh-pluginenterprisefinetunegenai
Source: GitHub repository metadata.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
datadata-analysisdata-pipelinedata-processingdata-sciencedata-visualizationfoundation-modelsinstruction-tuning
Source: GitHub repository metadata.
A simple, fast and versatile Datalog database
ai-nativeclient-server-databasedocument-databaseembedded-databasefulltext-searchgraph-databasekey-value-storevector-database
Source: GitHub repository metadata.
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
aideepseekembeddingkimi-k2langchainllama-indexllmmilvus
Source: GitHub repository metadata.
📚 从零开始构建大模型
agentllmrag
Source: GitHub repository metadata.
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
agentllmragtutorial
Source: GitHub repository metadata.
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
bertchatgptcnndeep-learningdiffusionganleedl-tutorialmachine-learning
Source: GitHub repository metadata.
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
langchainrag
Source: GitHub repository metadata.
南瓜书：《机器学习》（西瓜书）公式详解
bookmachine-learningpumpkin-book
Source: GitHub repository metadata.
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
cudadatawhaleinference-engineinfrakv-cachellmllm-inferencesglang
Source: GitHub repository metadata.
Face recognition using Tensorflow
computer-visiondeep-learningface-detectionface-recognitionfacenetmtcnntensorflow
Source: GitHub repository metadata.
A toolkit for making real world machine learning and data analysis applications in C++
c-plus-pluscomputer-visiondeep-learningdlibmachine-learningmachine-learning-librarypython
Source: GitHub repository metadata.
extract text from any document. no muss. no fuss.
data-miningnatural-language-processingpythontext-mining
Source: GitHub repository metadata.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
awsbytewaxcomet-mlcoursedockergenerative-aiinfrastructure-as-codelarge-language-models
Source: GitHub repository metadata.
Deepfakes Software For All
deep-face-swapdeep-learningdeep-neural-networksdeepfacedeepfakesdeeplearningface-swapfaceswap
Source: GitHub repository metadata.
What this index tells you
We collect selected public repository metadata through GitHub’s official API and store it on our server. This is not a complete index of GitHub. Categories come from discovery queries and topics; a “skills” or “plugins” result is not a verified installation format. We do not run or audit the projects listed here.
Check the original repository’s licence, installation instructions and maintenance history before using it. Stars do not establish security, and a recent push does not prove that a project works. GitHub may have newer information than our last indexed record.
Search is lexical, not an AI answer engine. Short words and spelling differences can affect matches. This site is independent of GitHub. Report a wrong category, stale result or removal request.