Fast.ai is a non-profit research group focused on deep learning and artificial intelligence. It was founded in 2016 by Jeremy Howard and Rachel Thomas to make deep learning more accessible to everyone. The Fast.ai library provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in deep learning applications such as computer vision, natural language processing, tabular data, and collaborative filtering. It also supports PyTorch, nbdev, and other open-source software packages.
Fast AI also offers a range of courses, including Practical Deep Learning for Coders, From Deep Learning Foundations to Stable Diffusion, and a book titled Practical Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a Ph.D.
