The Data Science Lab Getting Started with PyTorch 1.5 on Windows Dr. James McCaffrey of Microsoft Research uses a complete demo program, samples and screenshots to explains how to install the Python ...

This page describes PyTorch's Python Frontend backwards and forward compatibility policy, which is in effect starting with PyTorch 1.12. This policy lets us provide a modern user experience while ...

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.

This is a lightweight Python implementation of KinectFusion. All the core functions (TSDF volume, frame-to-model tracking, point-to-plane ICP, raycasting, TSDF fusion, etc.) are implemented using pure ...

Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...