Previously, PyTorch allowed developers to split the training data across processors, known in the parallel processing computing world as "data parallelism." The splitting of networks makes ...

GPU acceleration PyTorch supports GPU acceleration through CUDA, which is Nvidia’s parallel computing platform ... which can significantly reduce the amount of data and training time required ...

In 2003, a team of researchers led by Ian Buck unveiled Brook, the first widely adopted programming model to extend C with data-parallel constructs ... MXNet, PyTorch, Theano, and Torch.

PyTorch Geometric (PyG) is a library that data scientists and others can use to write and train graph neural networks for applications related to structured data. As described on its GitHub ...

Researchers have discovered a critical flaw in PyTorch’s distributed RPC system, allowing attackers to execute arbitrary commands on the OS and steal AI training data. Popular machine learning ...

This article assumes you have an intermediate or better familiarity with a C-family programming language, preferably Python, but doesn't assume you know very much about PyTorch. The complete source ...

Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end production-quality example of binary classification using a PyTorch neural network, ...