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mryab
Efficient Deep Learning Systems course materials (HSE, YSDA)
OPENAGENTSKILL / DIRECTORY
为下一项任务找到合适的技能。探索适用于 Codex、Claude Code、Cursor 等 Agent 的工具。
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Efficient Deep Learning Systems course materials (HSE, YSDA)
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A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
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AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
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《Machine Learning Systems: Design and Implementation》 (V2 is launching soon)
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Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
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Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
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Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…
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50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
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AI observability platform for production LLM and agent systems.
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查看技能说明🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…
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Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-g…
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🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, codi…
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A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.