pytorch/examples

This is the official examples repository for PyTorch, the popular machine learning framework developed by Meta. It provides a curated collection of short, self-contained code examples that demonstrate how to use PyTorch for a variety of common tasks in machine learning and deep learning. The examples are intentionally kept small and focused, with minimal external dependencies, so they are easy to read and adapt to your own projects. Each example tackles a meaningfully different problem: training an image classifier on handwritten digits, building a language model with recurrent neural networks or transformers, training a generative adversarial network to produce images (DCGAN), doing neural style transfer to apply artistic styles to photos, reinforcement learning with classic algorithms, and more. There are also examples for distributed training across multiple machines. PyTorch is a Python framework used for building neural networks and other machine learning models. You would use this repo when you are learning PyTorch and want concrete, working starting points for specific tasks, image recognition, text generation, reinforcement learning, and so on, rather than reading abstract documentation.