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Traditionally features in PyTorch were classified as either stable or experimental with an implicit third…

Along with the PyTorch 1.6 release, we are excited to announce that Microsoft has expanded…

Most deep learning frameworks, including PyTorch, train with 32-bit floating point (FP32) arithmetic by default.…

PyTorch.org provides researchers and developers with documentation, installation instructions, latest news, community projects, tutorials, and…

Today, we’re announcing the availability of PyTorch 1.5, along with new and updated libraries. This…

Along with the PyTorch 1.5 release, we are announcing new libraries for high-performance PyTorch model…

It’s important to make efficient use of both server-side and on-device compute resources when developing…

Today, we’re announcing the availability of PyTorch 1.4, along with updates to the PyTorch domain…

Many applications of machine learning (ML) pose a range of security and privacy challenges. In…

PyTorch continues to be used for the latest state-of-the-art research on display at the NeurIPS…

PyTorch continues to gain momentum because of its focus on meeting the needs of researchers,…

Since the release of PyTorch 1.0, we’ve seen the community expand to add new tools,…

With roads in developed countries like the US changing up to 15% annually, Mapillary addresses…

The PyTorch ecosystem includes projects, tools, models and libraries from a broad community of researchers…

Reproducibility is an essential requirement for many fields of research including those based on machine…

PyTorch domain libraries like torchvision provide convenient access to common datasets and models that can…

PyTorch has seen a lot of adoption in research, but people can get confused about…

This week, we officially released PyTorch 1.1, a large feature update to PyTorch 1.0. One…

This is a partial re-post of the original blog post on the Facebook AI Blog.…

In this blogpost we describe the recently proposed Stochastic Weight Averaging (SWA) technique , and…