AstraZeneca is using PyTorch-powered algorithms to discover new drugs The pharmaceutical firm has revealed how it is using sophisticated machine-learning tools to speed up drug discovery.

The Data Science Lab Regression Using PyTorch, Part 1: New Best Practices Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates ...

How to use PyTorch At the heart of PyTorch are tensors, which are similar to advanced arrays that you might be familiar with from NumPy, but with the added capability of running on GPUs.

Understand how Intersection over Union (IoU) works and how to implement it using PyTorch. This metric is essential for ...

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 ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

When using a PyTorch neural network, categorical predictor data must be encoded into a numeric form, and numeric predictor data should be normalized. For multi-class classification, the dependent ...

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

Is PyTorch better than TensorFlow for general use cases? This question was originally answered on Quora by Roman Trusov.