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.

PyTorch is an open-source machine learning library developed by Facebook’s AI Research lab (FAIR). It’s known for its flexibility, ease of use, and as a powerful tool for deep learning ...

Originally created by Meta, PyTorch has become an important tool for machine learning and people developing AI models.

The open-source PyTorch project is widely used for machine learning (ML) training. Its anticipated 2.0 version is now generally available.

PyTorch, a machine learning and deep learning framework, has emerged as a powerful tool for both researchers and developers alike. It offers a unique blend of speed, flexibility, and user-friendly ...

IBM Research has contributed code to the open-source PyTorch machine learning project that could help to significantly accelerate training.

But why should you choose to use PyTorch instead of other frameworks like MXNet, Chainer, or TensorFlow? Let’s look into five reasons that add up to a strong case for PyTorch.

Building on the rampant popularity of Python was always going to be a good idea for the Facebook-born PyTorch, an open source machine learning framework. Just how good of an idea, however, few ...

The first PyTorch Developer Day was held yesterday, providing PyTorch developers with a day of technical talks, project deep dives, and networking opportunities.