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.

Learning PyTorch deep learning If you’re looking to learn PyTorch, I think your best bet is to work through both the Fast.ai course and one of the more traditional courses at the same time.

Originally created by Meta, PyTorch has become an important tool for machine learning and people developing AI models.

Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

What is PyTorch? PyTorch is a deep learning framework designed to simplify AI model development. First released by Meta AI, it was built to improve the flexibility of deep learning research.

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

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

Positive and Unlabeled Learning (PUL) Using PyTorch Dr. James McCaffrey of Microsoft Research provides a code-driven tutorial on PUL problems, which often occur with security or medical data in cases ...

Dr. James McCaffrey of Microsoft Research provides a code-driven tutorial on PUL problems, which often occur with security or medical data in cases like training a machine learning model to predict if ...