PyTorch is a Python-based tensor computing library with high-level support for neural network architectures. It also supports offloading computation to GPUs.

PyTorch’s developers have introduced a feature in PyTorch 1.0, called Torch Script, that strikes a balance between Python’s accessible syntax and performant code.

The Anaconda distribution of Python contains a base Python engine plus over 500 add-in packages that have been tested to be compatible with one another. After you have a Python distribution installed, ...

After you have a Python distribution installed, you can install PyTorch in several different ways. I recommend using the pip utility (which is installed as part of Anaconda). Briefly, you download a ...

PyTorch has its problems. Facebook admits that while PyTorch currently is very flexible, performance at production-scale is a challenge, given its tight coupling to Python.

Learn how to install PyTorch open-source machine learning library in Windows &enhance your deep learning for AI & machine learning projects.

As with most Python programs, PyTorch can be installed via pip, a package management tool and installer that uses the public PyPi (Python Package Index) as its main repository.

PyTorch's execution model mimics the conventional programming model known to an average Python developer.

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 ...

As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related ...