The IBM team is combining three techniques within PyTorch – graph fusion, kernel optimizations, and parallel tensors – to achieve faster inference speeds.

The logical place to train a new model is on a cloud-hosted platform, such as Azure’s Machine Learning studio. This can get expensive, requiring large virtual machines to host your models and a ...

"TensorBoard is a data science companion dashboard that helps PyTorch and TensorFlow developers visualize their dataset and model training," said Jeffrey Lew of the VS Code Python team in announcing ...

PyTorch Hub comes with support for models in Google Colab and PapersWithCode. “Our goal is to curate high-quality, easily reproducible, maximally beneficial models for research reproducibility.

Over the last half decade, Pytorch has grown to become a leading standard for the AI research community with Meta CEO Mark Zuckerberg noting in Monday’s press release that some 80 percent of ...

AWS and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework. The first of these is TorchServe, a model-serving framework for ...

At its F8 developer conference, Facebook today launched Ax and BoTorch, two new open-source AI tools. BoTorch, which, as the name implies, is based on PyTorch, is a library for Bayesian ...