LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 6,831 stars and 1,244 forks.
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2026-07-16: 6,831 stars and 1,244 forks.
18 Lessons to Get Started Building AI Agents
GitHub repository with 69,488 stars and 23,048 forks.
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Topics: agentic-ai, agentic-framework, agentic-rag, ai-agents, ai-agents-framework, autogen
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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Topics: algorithmic-trading, artificial-intelligence, backtesting, data-science, deep-learning, finance
21 Lessons, Get Started Building with Generative AI
GitHub repository with 113,035 stars and 60,716 forks.
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Topics: ai, azure, chatgpt, dall-e, generative-ai, generativeai
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
GitHub repository with 88,186 stars and 21,508 forks.
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LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
GitHub repository with 12,350 stars and 935 forks.
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Topics: chatgpt, claude, deeplearning, doubao, framework, gemini
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
GitHub repository with 36,529 stars and 6,056 forks.
Trending score: 3.09; stars gained: +7; forks gained: +2.
Language: Jupyter Notebook
Topics: agents, ai, llms, machine-learning, mcp, rag
18 Lessons to Get Started Building AI Agents
GitHub repository with 69,488 stars and 23,048 forks.
Trending score: 4.11; stars gained: +83; forks gained: +31.
Language: Jupyter Notebook
Topics: agentic-ai, agentic-framework, agentic-rag, ai-agents, ai-agents-framework, autogen
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
GitHub repository with 19,904 stars and 5,412 forks.
Trending score: 3.81; stars gained: +79; forks gained: +7.
Language: Jupyter Notebook
Topics: algorithmic-trading, artificial-intelligence, backtesting, data-science, deep-learning, finance
21 Lessons, Get Started Building with Generative AI
GitHub repository with 113,035 stars and 60,716 forks.
Trending score: 3.78; stars gained: +63; forks gained: +34.
Language: Jupyter Notebook
Topics: ai, azure, chatgpt, dall-e, generative-ai, generativeai
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
GitHub repository with 88,186 stars and 21,508 forks.
Trending score: 3.60; stars gained: +32; forks gained: +17.
Language: Jupyter Notebook
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
GitHub repository with 12,350 stars and 935 forks.
Trending score: 3.17; stars gained: +83; forks gained: +3.
Language: Jupyter Notebook
Topics: chatgpt, claude, deeplearning, doubao, framework, gemini
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
GitHub repository with 36,529 stars and 6,056 forks.
Trending score: 3.09; stars gained: +7; forks gained: +2.
Language: Jupyter Notebook
Topics: agents, ai, llms, machine-learning, mcp, rag