awesome-artificial-intelligence

AI resource hub

A curated collection of resources and tools for learning and applying artificial intelligence concepts

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

GitHub
11k stars
634 watching
2k forks
last commit: 28 days ago
Linked from 9 awesome lists

aiartificial-intelligencedeep-learningintelligent-machinesintelligent-systemsmachine-intelligencemachine-learningneural-networkreinforcement-learningstatistical-learningunsupervised-learning

Awesome Artificial Intelligence (AI) / Tools / Chat
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
Claude Claude is a family of foundational AI models that can be used in various applications. You can talk directly with Claude at claude.ai to brainstorm ideas, analyze images, and process long documents

Awesome Artificial Intelligence (AI) / Tools / Images
Midjourney AI image generation
DALL·E 2 DALL·E 3 is an AI system that can create realistic images and art from a natural-language description

Awesome Artificial Intelligence (AI) / Tools / Video
Sora Sora is a text-to-video AI model that can create realistic and imaginative scenes from text instructions
Runway AI video generation

Awesome Artificial Intelligence (AI) / Tools / Commerical Tools
Taskade Build, train, and deploy AI agents to automate tasks, research, and collaborate in real-time

Awesome Artificial Intelligence (AI) / Courses
Introduction to Artificial Intelligence (AI) A high-level introduction to AI from IBM on Coursera
Introduction to Generative AI A beginner-level introduction to Generative AI from Google on Coursera
CS50’s Intro to Artificial Intelligence This course explores the concepts and algorithms at the foundation of modern artificial intelligence
MIT: Intro to Deep Learning A seven-day bootcamp designed in MIT to introduce deep learning methods and applications
Deep Blueberry: Deep Learning book A free five-weekend plan for self-learners to learn the basics of deep-learning architectures like CNNs, LSTMs, RNNs, VAEs, GANs, DQN, A3C and more
Spinning Up in Deep Reinforcement Learning A free deep reinforcement learning course by OpenAI
MIT Artificial Intelligence Videos MIT AI Course
Grokking Deep Learning in Motion Beginner's course to learn deep learning and neural networks without frameworks
Intro to Artificial Intelligence Learn the Fundamentals of AI. Course run by Peter Norvig
EdX Artificial Intelligence The course will introduce the basic ideas and techniques underlying the design of intelligent computer systems
Artificial Intelligence For Robotics This class will teach you basic methods in Artificial Intelligence, including probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics
Machine Learning Basic machine learning algorithms for supervised and unsupervised learning
Deep Learning An Introductory course to Deep Learning using TensorFlow
Stanford Statistical Learning Introductory course on machine learning focusing on linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines
Knowledge Based Artificial Intelligence Georgia Tech's course on Artificial Intelligence focussing on Symbolic AI
Deep RL Bootcamp Lectures Deep Reinforcement Bootcamp Lectures - August 2017
Machine Learning Crash Course By Google Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises
Python Class By Google This is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding
Deep Learning Crash Course In this liveVideo course, machine learning expert Oliver Zeigermann teaches you the basics of deep learning
Artificial Intelligence: A Modern Approach Stuart Russell & Peter Norvig

Awesome Artificial Intelligence (AI) / Courses / Artificial Intelligence: A Modern Approach
list of recommended reading Also consider browsing the , divided by each chapter in "Artificial Intelligence: A Modern Approach"

Awesome Artificial Intelligence (AI) / Courses
Paradigms Of Artificial Intelligence Programming: Case Studies in Common Lisp Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems
Reinforcement Learning: An Introduction This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists
The Cambridge Handbook Of Artificial Intelligence Written for non-specialists, it covers the discipline's foundations, major theories, and principal research areas, plus related topics such as artificial life
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work
Artificial Intelligence: A New Synthesis Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI
On Intelligence Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. Also audio version available from audible.com
How To Create A Mind Kurzweil discusses how the brain works, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems
Deep Learning Goodfellow, Bengio and Courville's introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives
The Elements of Statistical Learning: Data Mining, Inference, and Prediction Hastie and Tibshirani cover a broad range of topics, from supervised learning (prediction) to unsupervised learning including neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book
Deep Learning and the Game of Go Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex human-flavored reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game
Deep Learning for Search Deep Learning for Search teaches you how to leverage neural networks, NLP, and deep learning techniques to improve search performance
Deep Learning with PyTorch PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun
Deep Reinforcement Learning in Action Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects
Grokking Deep Reinforcement Learning Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching
Fusion in Action Fusion in Action teaches you to build a full-featured data analytics pipeline, including document and data search and distributed data clustering
Real-World Natural Language Processing Early access book on how to create practical NLP applications using Python
Grokking Machine Learning Early access book that introduces the most valuable machine learning techniques
Succeeding with AI An introduction to managing successful AI projects and applying AI to real-life situations
Elements of AI (Part 1) - Reaktor/University of Helsinki An Introduction to AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated math or programming required
Essential Natural Language Processing A hands-on guide to NLP with practical techniques, numerous Python-based examples and real-world case studies
Kaggle's micro courses A series of micro courses by offering practical and hands-on knowledge ranging from Python to Deep Learning
Transfer Learning for Natural Language Processing A book that gets you up to speed with the relevant ML concepts and then dives into transfer learning for NLP
https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb] (Stanford Deep Learning Series][
Amazon Machine Learning Developer Guide A book for ML developers which introduces the ML concepts & strategies with lots of practical usages
Machine Learning Observability Course Self-guided course covers the intuition, math, and best practices for effective machine learning observability
Machine Learning for Humans A series of simple, plain-English explanations accompanied by math, code, and real-world examples

Awesome Artificial Intelligence (AI) / Books
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

Awesome Artificial Intelligence (AI) / Programming
Prolog Programming For Artificial Intelligence This best-selling guide to Prolog and Artificial Intelligence concentrates on the art of using the basic mechanisms of Prolog to solve interesting AI problems
AI Algorithms, Data Structures and Idioms in Prolog, Lisp and Java -
Python Tools for Machine Learning
Python for Artificial Intelligence

Awesome Artificial Intelligence (AI) / Philosophy
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

Awesome Artificial Intelligence (AI) / Free Content
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
Artificial Intelligence and Molecular Biology The current volume is an effort to bridge that range of exploration, from nucleotide to abstract concept, in contemporary AI/MB research
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

Awesome Artificial Intelligence (AI) / Code
ExplainX 417 3 months ago 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 113 over 1 year ago Source code of Douglas Hosftadter's Fluid Concepts and Creative Analogies Ph.D. projects

Awesome Artificial Intelligence (AI) / Videos
A tutorial on Deep Learning
Basics of Computational Reinforcement Learning
Deep Reinforcement Learning
Intelligent agents and paradigms for AI
The Unreasonable Effectiveness Of Deep Learning The Director of Facebook's AI Research, Dr. Yann LeCun gives a talk on deep convolutional neural networks and their applications to machine learning and computer vision
AWS Machine Learning in Motion —This interactive live video course gives you a crash course in using AWS for machine learning and teaches you how to build a fully working predictive algorithm
Deep Learning with R in Motion -Deep Learning with R in Motion teaches you to apply deep learning to text and images using the powerful Keras library and its R language interface
Grokking Deep Learning in Motion -Grokking Deep Learning in Motion will not just teach you how to use a single library or framework. You’ll discover how to build these algorithms from scratch!
Reinforcement Learning in Motion This live-video breaks down critical concepts like how RL systems learn, how to sense and process environmental data, and how to build and train AI agents

Awesome Artificial Intelligence (AI) / Learning
Deep Learning. Methods And Applications Free book from Microsoft Research
Neural Networks And Deep Learning Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning
Machine Learning: A Probabilistic Perspective This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach
Deep Learning Yoshua Bengio, Ian Goodfellow and Aaron Courville put together this currently free (and draft version) book on deep learning. The book is kept up-to-date and covers a wide range of topics in depth (up to and including sequence-to-sequence learning)
Getting Started with Deep Learning and Python
Machine Learning Mastery
Deep Learning.net Aggregation site for DL resources
Awesome Machine Learning 66,030 10 days ago Like this Github, but ML-focused
FastML
Awesome Deep Learning Resources 1,668 10 months ago Rough list of learning resources for Deep Learning
Professional and In-Depth Machine Learning Video Courses A collection of free professional and in-depth Machine Learning and Data Science video tutorials and courses
Professional and In-Depth Artificial Intelligence Video Courses A collection of free professional and in-depth Artificial Intelligence video tutorials and courses
Professional and In-Depth Deep Learning Video Courses A collection of free professional and in-depth Deep Learning video tutorials and courses
Introduction to Machine Learning Introductory level machine learning crash course
Awesome Graph Classification 4,757 over 1 year ago Learning from graph structured data
Awesome Community Detection 2,334 8 months ago Clustering graph structured data
Awesome Decision Tree Papers 2,381 8 months ago Decision tree papers from machine learning conferences
Awesome Gradient Boosting Papers 1,004 8 months ago Gradient boosting papers from machine learning conferences
Awesome Fraud Detection Papers 1,625 8 months ago Fraud detection papers from machine learning conferences
Awesome Neural Art 90 about 5 years ago Creating art and manipulating images using deep neural networks

Awesome Artificial Intelligence (AI) / Organizations
IEEE Computational Intelligence Society
Machine Intelligence Research Institute
OpenAI
Association For The Advancement of Artificial Intelligence
Google DeepMind Research
Nvidia Deep Learning
AI Google
Facebook AI
IBM Research
Microsoft Research

Awesome Artificial Intelligence (AI) / Journals
AI & Society
AI Communications
AI Magazine
Annals of Mathematics and Artificial Intelligence
Applicable Algebra in Engineering, Communication and Computing
Applied Artificial Intelligence
Applied Intelligence
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Artificial Intelligence Review
Artificial Intelligence
Automated Software Engineering
Autonomous Agents and Multi-Agent Systems
Computational and Mathematical Organization Theory
Computational Intelligence
Electronic Transactions on Artificial Intelligence
Evolutionary Intelligence
EXPERT—IEEE Intelligent Systems
IEEE Transactions Automation Science and Engineering
Intelligent Industrial Systems
International Journal of Intelligent Systems
International Journal on Artificial Intelligence Tools
Journal of Artificial Intelligence Research
Journal of Automated Reasoning
Journal of Experimental and Theoretical Artificial Intelligence
Journal of Intelligent Information Systems
Journal on Data Semantics
Knowledge Engineering Review
Minds and Machines
Progress in Artificial Intelligence

Awesome Artificial Intelligence (AI) / Competitions
MIT Battlecode
AI Challenge
AI Games

Awesome Artificial Intelligence (AI) / Newsletters
Superhuman.ai A daily AI newsletter

Awesome Artificial Intelligence (AI) / Misc
Open Cognition Project We're undertaking a serious effort to build a thinking machine
AITopics Large aggregation of AI resources
AIResources Directory of open source software and open access data for the AI research community
Artificial Intelligence Subreddit
AI Experiments with Google

Backlinks from these awesome lists:

More related projects: