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37,242rohitg00/ai-engineering-from-scratch
Learn it. Build it. Ship it for others.
rohitg00 · (11d ago)
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37,242Learn it. Build it. Ship it for others.
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25,820Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
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22,364✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
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19,628YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps
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17,970Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
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22,98350+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
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10,161Build, Manage and Deploy AI/ML Systems
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5,468ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
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4,008Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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2,515🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
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1,699Synthetic data curation for post-training and structured data extraction
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1,112A set of tools that gives agents powerful capabilities.
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800Agent samples built using the Strands Agents SDK.
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930Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
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666Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南
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745End-to-end Generative Optimization for AI Agents
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403The missing bridge between your ML models and your AI agents.
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398An intelligence orchestra
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696A model-driven approach to building AI agents in just a few lines of code.
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289This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents.
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487A fast and minimal framework for building agentic systems
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228The Ruby framework for programming—rather than prompting—language models.
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204Chat to Compose Video
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194Documentation for the Strands Agents SDK. A model-driven approach to building AI agents in just a few lines of code.
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88Cognitive Memory OS for AI Agents — persistent, self-improving, multi-agent memory
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59300+ visual cards covering almost all large language model(LLMs) concepts and architectures. Best for revising LLM concepts before any big AI/ML technical interview rounds.
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43Make your agents learn from experience. One protocol for weights, harness and routing.
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17A fine-tuning SDK — any open model, any harness, any method. 12 training methods behind one argument; pure-stdlib core.
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10Various LLM resources and experiments
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6A curated list of AI agent frameworks, tools, platforms, research papers, and resources
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9The Full-Stack LLM Engineering Playbook. Architectural patterns for Agents (MCP) & RAG, coupled with advanced Post-Training recipes (SFT, DPO, QLoRA) for domain adaptation. Covers Data Pipelines, Evaluation Frameworks, and System Design.
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7Full-stack LLM Engineering Lab. Features: Autonomous Agents (ReAct/AutoGPT) | Fine-Tuning Llama/Mistral (SFT/DPO) | Large Model Deployment (DeepSeek 671B / 2.5-bit) | Advanced RAG (Hybrid Search) | Function Calling (Stream/Text-to-SQL/External APIs) | Frameworks (LangChain, Semantic Kernel, OpenAI) | Daily SOTA Paper Tracking. From theory to 0-to-1
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13Independent framework to test, benchmark, and evaluate LLMs & AI agents locally.
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6The greatest AI Framework ever made
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2Curated list of 50+ AI agent frameworks, multi-agent systems, LLM integration tools, and autonomous agent resources for developers
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4Unified execution runtime for LLM and ML programs.
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1A curated list of 400+ AI APIs, tools, frameworks, and platforms across 40+ categories
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1📊 Git-style diff and version control for LLM prompts
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2🔄 Record, replay, and debug AI agent execution traces
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2🧠 Manage and optimize AI assistant memories with a three-layer system for automated logging, analysis, and proactive learning.