awesome-AI-books: Find AI Books, Papers, and Learning Resources

Overview

awesome-AI-books is a curated collection of AI learning materials rather than a software library or course. It brings together book links, research papers, online references, and training environments, with sections covering foundations such as mathematics and machine learning as well as deep learning, reinforcement learning, and quantum computing.

It is useful when you want a broad directory to explore or supplement a study plan. The list points to resources hosted on external sites and includes both free and explicitly labeled commercial books.

Key Features

• Organizes books by subject, including mathematics, data mining, machine learning, deep learning, and philosophy.
• Links to learning materials in both English and Chinese.
• Collects research papers and reference material for reinforcement learning, NLP, computer vision, and other AI areas.
• Includes online books and documentation, alongside linked AI and machine learning libraries.
• Lists practice environments for experimenting with reinforcement learning agents.
• Covers quantum computing basics and selected quantum AI resources.
• Includes references for distributed training and data processing.

Use Cases

• A student starting an AI learning plan can use the subject headings to find relevant textbooks and introductory references.
• An ML practitioner exploring a specialized topic can scan the paper and online-resource links for a starting point.
• A reinforcement learning learner can find both algorithm references and environments for agent experiments.
• A reader studying quantum computing and AI can use the dedicated section to locate primers, papers, and a related framework.

Getting Started

No installation is required. Browse the repository README and follow links to the resources that match your interests.

Alternatives

• awesome-agentic-ai: Focuses on agentic AI frameworks, tools, papers, and learning materials rather than resources spanning AI topics broadly.
• ai-engineering-from-scratch: Provides a structured, hands-on AI engineering curriculum rather than a directory of books, papers, and references.

Considerations

• This is a link collection, not a maintained curriculum, executable toolkit, or guarantee that every linked resource is current or available.
• The README says the project is for learning and not for business use. It also marks some books as commercial.
• The README says book PDFs are stored on Yandex.Disk due to GitHub's large-file storage limitation. Check the terms and permissions for external materials before using or sharing them.