Efficient Dl Systems
mryab
Efficient Deep Learning Systems course materials (HSE, YSDA)
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Results: 18
mryab
Efficient Deep Learning Systems course materials (HSE, YSDA)
chiphuyen
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
harvard-edge
openmlsys
《Machine Learning Systems: Design and Implementation》 (V2 is launching soon)
decodingai-magazine
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
NirDiamant
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
deepset-ai
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…
NirDiamant
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
FoundationAgents
Coordinate multi-agent teams for software and product work
pydantic
AI observability platform for production LLM and agent systems.
NirantK
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…
MemMachine
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…
abhi1693
AI Agent Orchestration Dashboard - Manage AI agents, assign tasks, and coordinate multi-agent collaboration via OpenClaw Gateway.
study8677
🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, codi…
emarco177
A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.