The Data Science Lab. Neural Regression Using PyTorch: Model Accuracy. Dr. James McCaffrey of Microsoft Research explains how to evaluate, save and use a trained regression model, used to predict a ...

The Data Science Lab. Multi-Class Classification Using PyTorch: Model Accuracy. Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to ...

PyTorch is an open source project originally started by Meta (formerly Facebook) that moved to an open governance model at the Linux Foundation with the launch of the PyTorch Foundation in Sept 2022.

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 ...

PyTorch also comes with an array of pre-trained models ("model zoo"), out-of-the-box distributed capabilities, and integration with probabilistic programming, machine translation, natural language ...

Running a PyTorch inference is relatively simple, with only 35 lines of code needed to download the model, load it into PyTorch, and then run it.

At launch, PyTorch Hub comes with access to roughly 20 pretrained versions of Google’s BERT, WaveGlow, and Tacotron 2 from Nvidia, and the Generative Pre-Training (GPT) for language ...

With the launch of PyTorch Lightning 2.0, Lightning AI said, it’s introducing a stable application programming interface, more powerful features with a smaller footprint, and tools that make it ...

Unlike TensorFlow, PyTorch hasn’t experienced any major ruptures in the core code since the deprecation of the Variable API in version 0.4. (Previously, Variable was required to use autograd ...