marcossete/awesome-free-ai-books

This repository is a curated list of free, legitimately accessible books covering artificial intelligence and machine learning. The maintainer organizes links to books that authors or publishers have officially made available at no cost. The repository itself does not host any files. It only points to official sources. The books are sorted into categories such as deep learning, reinforcement learning, probabilistic and Bayesian methods, classical machine learning, and natural language processing. Additional sections cover mathematics for machine learning, ML systems and infrastructure, computer vision, generative models, causal inference, graph neural networks, and AI safety. Most categories contain one to nine titles. Each entry in the collection lists the book title, author or authors, publication year, and a link to the official source. The books range from well known texts like Goodfellow, Bengio, and Courville's "Deep Learning" from MIT Press to niche works like "Probability Theory: The Logic of Science" by E. T. Jaynes. Some entries note that the linked book is a draft, such as Jurafsky and Martin's "Speech and Language Processing" third edition, which is described as an active draft for 2026. The README includes a short statement about why it only links to official sources rather than hosting copies or linking to third party uploads. It points to a contributing guide for people who want to suggest additions, and it notes that a link checking workflow runs to keep the links valid over time. The collection is released under the CC0 1.0 license, meaning it is in the public domain.