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, ...

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.

It's important to document the versions of Python and PyTorch being used because both systems are under continuous development. Dealing with versioning incompatibilities is a significant headache when ...

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.

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 ...

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 ...

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.