56 AI tools ranked by real ratings, reviews, and popularity — updated automatically as new reviews come in. No paid placement affects this ranking.
an introductory level microlearning course covering Google Tools aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
notebook by [@johnowhitaker](https://twitter.com/johnowhitaker) exploring Stable Diffusion details
"free course designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems" by Jeremy Howard
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai
introduction to Generative AI, including models such as GANs, Variational Autoencoders, Autoregressive Models, and their applications, evaluation, ethics, and challenges
Roadmaps featuring essential concepts, learning methods, and the tools to put them into practice.
"students at the National University of Singapore explore AI’s capability for design in a semester course and share what they learned. Directed by Donn Koh at the Division of Industrial Design, NUS."
sequel to Grokking Stable Diffusion by [@johnowhitaker](https://twitter.com/johnowhitaker) that focus on Text Inversion
