PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

About the PyTorch Foundation The PyTorch Foundation is a community-driven hub supporting the open source PyTorch framework and a broader portfolio of innovative open source AI projects.

PyTorch provides a wide range of pre-trained models, such as VGG, ResNet, MobileNet, and others. Developers can easily use and integrate these pre-trained models into their existing PyTorch projects.

The open-source PyTorch project is widely used for machine learning (ML) training. Its anticipated 2.0 version is now generally available.

PyTorch is a python package that provides two high-level features: Tensor computation with strong GPU acceleration, and deep neural networks built on a tape-based Autograd system.

Facebook's PyTorch project brings a ton of improvements for scientific-computing specialists who use libraries like NumPy and SciPy.

Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning ...

Everything you need to know about PyTorch, the world's fastest-growing AI project that started at Facebook and powers research at Tesla, Uber, and Genentech ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business ...