TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. Topics Spotlight: AI-ready data centers ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

Machine Learning in Facebook AI Research and in production First off, PyTorch is now officially the one Facebook ML framework to rule them all. PyTorch 1.0 marks the unification of PyTorch and Caffe2.

Developers can submit ML training jobs created in TensorFlow, Keras, PyTorch, Scikit-learn, and XGBoost. Google now offers in-built algorithms based on linear classifier, wide and deep and XGBoost ...

IBM Research has contributed code to the open-source PyTorch machine learning project that could help to significantly accelerate training. Skip to main content Events Video Special Issues Jobs ...