PyTorch keeps growing and growing in acceptance. Here’s an interesting development from Facebook.

Reproducibility puts the science in the computer science of AI. It’s how researchers can prove their AI systems are robust and reliable. To support reproducibility for AI models, Facebook today released PyTorch Hub in beta, an API and workflow for research reproducibility and support. PyTorch Hub can quickly publish […]

Adam Paszke speaks at PyData Warsaw 2018 about PyTorch, one of the main tools used for machine learning research.

It’s been developed in beta mode for over 2 years, but this October, a release candidate for 1.0 version has been finally released. In this talk, Adam briefly introduces the library, and then move on to showcase the cutting edge features we introduced recently.

Here’s an article about the latest PyTorch release.

Facebook AI Research announced the release of PyTorch 1.1. The latest version of the open-source deep learning framework includes improved performance via distributed training, new APIs, and new visualization tools including native support for TensorBoard. In a recent blog post, the Facebook team highlighted several improvements to the framework […]