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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…

We would like to give you a preview of the roadmap for PyTorch 1.0 ,…

Welcome to the migration guide for PyTorch 0.4.0. In this release we introduced many exciting new…

Tensor Comprehensions (TC) is a tool that lowers the barrier for writing high-performance code. It…

Today marks 1 year since PyTorch was released publicly. It’s been a wild ride —…

In the first post I explained how we generate a torch.Tensor object that you can use in your Python…

The fundamental unit in PyTorch is the Tensor. This post will serve as an overview…