Marktechpost/AI-Tutorial-Codes-Included
Codes/Notebooks for AI Projects
Curated collection of production-grade implementations across agentic AI, LLMs, RAG, computer vision, and voice systems, with executable Jupyter notebooks paired to technical tutorials. Covers frameworks like AgentScope, OpenAI agents, and specialized domains including multi-agent orchestration, knowledge graphs with agentic RAG, reinforcement learning (DQN/RLax), and enterprise AI governance systems. Each tutorial links working code demonstrating practical patterns: tool integration, structured outputs, guardrails, concurrent pipelines, and memory management for deployed agents.
2,137 stars. Actively maintained with 77 commits in the last 30 days.
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Last pushed
Mar 12, 2026
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