pytorch-tutorial

Why we included this project

Most people who pick up PyTorch end up here at some point, and for good reason: the repo breaks the framework down into small, runnable examples instead of leaving you to puzzle out the documentation. Each tutorial fits a classic model into under thirty lines of code, so you get the whole training loop for things like linear regression, CNNs, RNNs, and GANs without the boilerplate getting in the way. The ordering from basics through intermediate to advanced tracks how most learners actually work, which makes it a handy companion whether you are a researcher or an engineer trying to get from reading about a model to running it. It also works well as a reference when you want a minimal, readable implementation of a familiar architecture to adapt for your own experiments.