fastai

Why we included this project

fastai wraps PyTorch in a higher-level API that gets common deep learning jobs done with very little code. The quick start shows image classification, segmentation, text sentiment, recommendation, and tabular models, each in about five lines. Underneath that simplicity sits a layered design: a data block API, a refactored optimizer, and a two-way callback system give you pieces you can combine once you outgrow the defaults, so the library stays hackable rather than a black box. Teams working on vision, text, or tabular problems without wanting to hand-roll training loops will find it a practical fit, and researchers can drop down to lower-level components to experiment. The companion book and free course also make it a solid way to learn deep learning while shipping real models.