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Awesome Artificial Intelligence (AI) Awesome

This is a curated list of Artificial Intelligence (AI) tools, courses, books, lectures, and papers. AI, or Artificial Intelligence, is a branch of computer science focused on creating machines that can perform tasks requiring human-like intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, and recognizing patterns. AI aims to mimic human cognitive functions, making machines capable of improving their performance based on experience, adapting to new inputs, and performing human-like tasks.

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  • Chat GPT ChatGPT is a free-to-use AI system. It allows users to engage in conversations, gain insights, automate tasks, and witness the future of AI all in one place.
  • Gemini Gemini gives you direct access to Google AI. Get help with writing, planning, learning, and more.
  • DALL·E 2 DALL·E 3 is an AI system that can create realistic images and art from a natural-language description.
  • Sora Sora is a text-to-video AI model that can create realistic and imaginative scenes from text instructions.
  • Claude Claude is a family of foundational AI models that can be used in various applications. You can talk directly with Claude at to brainstorm ideas, analyze images, and process long documents



  • Machine Learning for Mortals (Mere and Otherwise) - Early access book that provides basics of machine learning and using R programming language.
  • How Machine Learning Works - Mostafa Samir. Early access book that introduces machine learning from both practical and theoretical aspects in a non-threatening way.
  • MachineLearningWithTensorFlow2ed is a book on general-purpose machine learning techniques, including regression, classification, unsupervised clustering, reinforcement learning, autoencoders, convolutional neural networks, RNNs, and LSTMs, using TensorFlow 1.14.1.
  • Serverless Machine Learning - a book for machine learning engineers on how to train and deploy machine learning systems on public clouds like AWS, Azure, and GCP, using a code-oriented approach.
  • The Hundred-Page Machine Learning Book - all you need to know about Machine Learning in a hundred pages, supervised and unsupervised learning, SVM, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer learning, feature engineering and hyperparameter tuning.
  • Trust in Machine Learning - a book for experienced data scientists and machine learning engineers on how to make your AI a trustworthy partner. Build machine learning systems that are explainable, robust, transparent, and optimized for fairness.
  • Generative AI in Action - A book that shows exactly how to add generative AI tools for text, images, and code, and more into your organization’s strategies and projects..



  • Super Intelligence - Superintelligence asks the question: What happens when machines surpass humans in general intelligence?
  • Our Final Invention: Artificial Intelligence And The End Of The Human Era - Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
  • How to Create a Mind: The Secret of Human Thought Revealed - Ray Kurzweil, director of engineering at Google, explored the process of reverse-engineering the brain to understand precisely how it works, then applies that knowledge to create vastly intelligent machines.
  • Minds, Brains, And Programs - The 1980 paper by philosopher John Searle that contains the famous 'Chinese Room' thought experiment. It is probably the most famous attack on the notion of a Strong AI possessing a 'mind' or a 'consciousness', and it is an interesting reading for those interested in the intersection of AI and philosophy of mind.
  • Gödel, Escher, Bach: An Eternal Golden Braid - Written by Douglas Hofstadter and taglined "a metaphorical fugue on minds and machines in the spirit of Lewis Carroll", this incredible journey into the fundamental concepts of mathematics, symmetry and intelligence won a Pulitzer Prize for Non-Fiction in 1979. A major theme throughout is the emergence of meaning from seemingly 'meaningless' elements, like 1's and 0's, arranged in special patterns.
  • Life 3.0: Being Human in the Age of Artificial Intelligence - Max Tegmark, professor of Physics at MIT, discusses how Artificial Intelligence may affect crime, war, justice, jobs, society and our very sense of being human both in the near and far future.

  • Foundations Of Computational Agents - This book is published by Cambridge University Press

  • The Quest For Artificial Intelligence - This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers.
  • Stanford CS229 - Machine Learning - This course provides a broad introduction to machine learning and statistical pattern recognition.
  • Computers and Thought: A practical Introduction to Artificial Intelligence - The book covers computer simulation of human activities, such as problem-solving and natural language understanding; computer vision; AI tools and techniques; an introduction to AI programming; symbolic and neural network models of cognition; the nature of mind and intelligence; and the social implications of AI and cognitive science.
  • Society of Mind - Marvin Minsky's seminal work on how our mind works. Lot of Symbolic AI concepts have been derived from this basis.
  • Brief Introduction To Educational Implications Of Artificial Intelligence - This book is designed to help preservice and inservice teachers learn about some of the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks.
  • Encyclopedia: Computational intelligence - Scholarpedia is a peer-reviewed open-access encyclopedia written and maintained by scholarly experts from around the world.
  • Ethical Artificial Intelligence - a book by Bill Hibbard that combines several peer-reviewed papers and new material to analyze the issues of ethical artificial intelligence.
  • Golden Artificial Intelligence - a cluster of pages on artificial intelligence and machine learning.
  • R2D3 - A website with explanations on topics from Machine Learning to Statistics. All helped with beautifully animated infographics and real-life examples. Available in various languages.
  • Modeling Agents with Probabilistic Programs - This book describes and implements models of rational agents for (PO)MDPs and Reinforcement Learning.


  • ExplainX- ExplainX is a fast, lightweight, and scalable explainable AI framework for data scientists to explain any black-box model to business stakeholders.
  • AIMACode - Source code for "Artificial Intelligence: A Modern Approach" in Common Lisp, Java, and Python. More to come.
  • FANN - Fast Artificial Neural Network Library, native for C
  • FARGonautica - Source code of Douglas Hosftadter's Fluid Concepts and Creative Analogies Ph.D. projects.










To the extent possible under law, Owain Lewis has waived all copyright and related or neighbouring rights to this work.