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Awesome Artificial Intelligence resources


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Awesome Artificial Intelligence

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.


  1. Tools
  2. Courses
  3. Books
  4. Programming
  5. Philosophy
  6. Free Content
  7. Code
  8. Videos
  9. Learning
  10. Organizations
  11. Journals
  12. Competitions
  13. Newsletters
  14. Misc


  • 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.

Free Content


  • 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.