Installing PyTorch There are several ways to install the PyTorch 1.5 add-on package. I recommend installing PyTorch using a local .whl (pronounced "wheel") file together with a program called pip. The ...

PyTorch’s torchvision package allows you to create a complex pipeline of transformations for data augmentation that are applied to images as they get pulled out of the DataLoader, including ...

The Data Science Lab Neural Regression Using PyTorch: Model Accuracy Dr. James McCaffrey of Microsoft Research explains how to evaluate, save and use a trained regression model, used to predict a ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

By using llm.c, it is possible to train large-scale language models without using PyTorch with a capacity of 245MB or cPython with a capacity of 107MB.