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 ...

The PyTorch open-source deep-learning framework announced the release of version 1.12 which includes support for GPU-accelerated training on Apple silicon Macs and a new data preprocessing library, To ...

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 ...

In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...

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 ...