The Windows AI Platform is excited to announce the Third Preview release of PyTorch-DirectML; a hardware accelerated backend for training PyTorch models on any DirectX12 GPU on Windows and the Windows Subsystem for Linux (WSL). This preview release includes expanded support for computer vision models from the Torchvision library. On the DirectML...
A few months ago, we released the first preview of PyTorch-DirectML: a hardware accelerated backend for training PyTorch models on any DirectX12 GPU on Windows and the Windows Subsystem for Linux (WSL). Today, we are releasing the Second Preview with significant performance improvements and greater coverage for computer vision models. PyTorch-Di...
Learn how the Windows ML API can be used to create powerful ML experiences on Windows through the Windows ML Samples Gallery.
The Windows AI team is excited to announce the first preview of DirectML as a backend to PyTorch for training ML models! This release is our first step towards unlocking accelerated machine learning training for PyTorch on any DirectX12 GPU on Windows and the Windows Subsystem for Linux (WSL). In order for you to take advantage of DirectML withi...
Support for GPU accelerated machine learning (ML) training within the Windows Subsystem for Linux (WSL) is now broadly available with the release of Windows 11. Read on for more details about using WSL with your existing ML workflows.
Learn about the first generally consumable package of TensorFlow-DirectML. TensorFlow-DirectML improves the experience and performance of model training through GPU acceleration on the breadth of Windows devices by working across different hardware vendors and supporting the needs of students’ and professionals’ workflows.
Learn how to create a Window Machine Learning application that uses a neural network to analyze tabular data and run predictions.
Windows ML NuGet package 1.8.0 is now available! Take a look to review our new features and optimization work for Windows ML APIs and DirectML EP.
Windows AI platform team has recently added new tutorials to the Windows ML documentation providing a great introductory experience to machine learning, showing you how to create machine learning models from scratch and integrate them with applications running on Windows devices.
Learn how to train an image classification model with ML.NET Model Builder and then inference with Windows Machine Learning in a UWP application.
