ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights. Using a mix of PyTorch, a ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Foundation models have the potential to change the way organizations ...
Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More After months in preview, PyTorch 2.0 has been made generally available by ...
The enticing new title courtesy of Packt Publishing, “Machine Learning with PyTorch and Scikit-Learn,” by Sebastian Raschka, Yuxi (Hayden) Liu, and Vahid Mirjalili is a welcome addition to any data ...