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.

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 ...

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, ...

Courtesy of PyTorch/XLA (a now generally available Python library), Google's Cloud TPUs can better support Facebook's PyTorch machine learning framework.

PyTorch is a Python-centric open-source machine learning framework with a focus on computer vision and natural language processing.

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.

As PyTorch maintainers point out, the preview gives developers the flexibility to work with multiple frameworks and Python packages that rely on Nvidia CUDA but only support Linux.

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.