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openmlir / mlir-tutorial
Forked from KEKE046/mlir-tutorialHands-On Practical MLIR Tutorial
An Open-Source Scaling Framework for Domain Specific Architectures
持续维护的企业面试题库网站,帮你拿到满意 offer!⭐️ 2026年最新Java面试题、前端面试题、AI大模型面试题、AI Agent面试题、RAG面试题、C++面试题、Go面试题、Python面试题、测试面试题、运维面试题、后端面试题、操作系统面试题、计算机网络面试题、Redis面试题、MySQL数据库面试题、算法面试题、Spring面试题、JVM面试题、Java并发面试题、Linux面…
VisJudgeBench: A comprehensive benchmark for aesthetics and quality assessment of visualizations, featuring 3,090 expert-annotated samples with six-dimensional quality scores.
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
AIInfra(AI 基础设施)指AI系统从底层芯片等硬件,到上层软件栈支持AI大模型训练和推理。
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
🧠「大模型」2小时完全从0训练64M的小参数LLM!Train a 64M-parameter LLM from scratch in just 2h!
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
MCP 资源精选, MCP指南,Claude MCP,MCP Servers, MCP Clients
Lightweight, auditable Python code agent (~1500 LOC) — ReAct + Planner + Reflexion + Hybrid RAG, with SWE-bench Lite eval and trace replay.
all of the workflows of n8n i could find (also from the site itself)
The official Python SDK for Model Context Protocol servers and clients
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Web Crawling and RAG Capabilities for AI Agents and AI Coding Assistants
12 Lessons to Get Started Building AI Agents
这是一个简单的技术科普教程项目,主要聚焦于解释一些有趣的,前沿的技术概念和原理。每篇文章都力求在 5 分钟内阅读完成。
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
A collection of examples that show how to use CrewAI framework to automate workflows.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.