Provide a wealth of AI learning materials, code bases, tutorials and research directions. Suitable for AI enthusiasts, developers and academic researchers.
on GitHub owainlewis/awesome-artificial-intelligence Project, which is a project maintained by Ovain Lewis “Awesome” series of resource libraries, mainly for resources in the field of artificial intelligence (AI) Selected sorting and classified summary, still popular so far (more than 12k stars)
Project overview
The project’s README file begins with a brief explanation:
“A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.”
–A list of selected resources focusing on AI courses, books, videos, papers, etc.
It is worth mentioning that the last significant update of this project was in February 2025 (according to the mirror content).
🧭Introduction to the main content section
The following are the main resource categories listed in the README, and each category contains rich data:
- Courses (courses)
Such as MIT AI, Stanford Statistical Learning Course, Peter Norvig’s Introduction to AI Course, AI Course in the direction of robots, OpenAI’s Intensive Learning Course, etc. - Books (Books)
Including classic textbooks: Artificial Intelligence: A Modern Approach, Reinforcement Learning: An Introduction, Superintelligence, On Intelligence, Gödel, Escher, Bach, etc. - Programming / Code (Programming and Code Resources)
Covering Prolog, Lisp, Python AI sample code, AIMACode (Modern Approach code implementation), FANN neural network library, ExplainX interpretable AI framework, etc. - Videos (video lectures)
Including teaching videos in multiple fields such as deep learning, reinforcement learning, and intelligent agents, as well as LeCun’s famous speech on deep learning. - Philosophy / Free Content / Learning / Organizations / Journals / Competitions / Newsletters / Misc
Contents including philosophical reading materials, free textbooks for people, professional organizations, academic journals, AI competitions, related news newsletters, AI-related movies, etc. are rich in categories and widely covered.
Summary and role
- particularly suitable: Whether you are an AI beginner and looking for introductory materials, a researcher who wants to systematically master classic books or courses, or an engineering practitioner who is looking for programming frameworks and code samples.
- very comprehensive: Covering multiple dimensions such as theory, practice, code, competitions, ethical discussions, and even culture, film and television.
- Community open source maintenance: Anyone is welcome to contribute resources, and you can also participate in supplementary updates through pull request or issue
🧠If you want to understand more…
- I can help you recommend the most suitable classified resources for you;
- Or talk about a certain part in detail (such as intensive learning introductory courses, classic AI book lists, open source code projects, etc.);
- It can also help you find the latest updates, such as whether there have been major additions in the past two years, or whether there are government-leading resources that focus on certain types of AI more professionally.
Github：https://github.com/owainlewis/awesome-artificial-intelligence
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