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

The goal of a multi-class classification problem is to predict a value that can be one of three or more possible discrete values, such as "poor," "average" or "good" for a loan applicant's credit ...

According to Lightning AI, customers that would rather use a simple, scalable training method that works out of the box can rely on PyTorch Lightning 2.0, while those that need more granularity ...

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 ...

The Data Science Lab Binary Classification Using PyTorch: Training Dr. James McCaffrey of Microsoft Research continues his examination of creating a PyTorch neural network binary classifier through ...