Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

This isn’t necessarily a problem, but we’re currently at PyTorch 1.5, so you may find yourself running into deprecation warnings when trying to replicate code on the latest version.

An example is predicting if a hospital patient is male or female based on variables such as age, blood pressure and so on. There are dozens of code libraries and tools that can create a logistic ...

But why should you choose to use PyTorch instead of other frameworks like MXNet, Chainer, or TensorFlow? Let’s look into five reasons that add up to a strong case for PyTorch.

Azure already made it relatively easy to use PyTorch, and Microsoft has long invested in the library by, for example, taking over the development of PyTorch for Windows last year.

A hacker has tricked some users of the PyTorch machine learning framework into downloading malware, BleepingComputer reported on Sunday. PyTorch is a popular open-source tool for developing ...

The Data Science Lab Generating Synthetic Data Using a Variational Autoencoder with PyTorch Generating synthetic data is useful when you have imbalanced training data for a particular class, for ...

IBM Research has contributed code to the open-source PyTorch machine learning project that could help to significantly accelerate training.

PyTorch Lightning provides a high-level interface for PyTorch, Facebook’s popular deep learning framework, abstracting away the code normally required to set up and maintain AI systems.