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 ...

Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning ...

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

OpenAI announced that it will adopt Facebook's PyTorch machine learning development framework in the near future, eschewing Google's TensorFlow.

Python’s traditional role in machine learning has been to wrap high-speed, back-end code libraries with easy-to-use, front-end syntax.

This PyTorch vs TensorFlow guide will provide more insight into both but each offers a powerful platform for designing and deploying machine learning models.

Both PyTorch and TensorFlow support deep learning and transfer learning. Transfer learning, which is sometimes called custom machine learning, starts with a pre-trained neural network model and ...

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