GECS-Net: Geometric Embedding and Cross-Stage Network for Two-View Correspondence Learning This repository provides the official PyTorch implementation of GECS-Net (Geometric Embedding and Cross-Stage ...

AMD joins the UXL Foundation as a steering member, and AMD and Intel agree on oneDNN as PyTorch's default library for x86 CPU ...

The companies plan to combine their x86 CPU optimization work for PyTorch in oneDNN to give developers a common software path ...

Introduction A few years ago, when I was tasked with an in-house PoC for image classification, I took sample code for transfer learning and ran it almost as-is. The training ran. The accuracy stopped ...

AMD and Intel aim to unify PyTorch CPU optimisations through oneDNN, easing x86 AI deployment. But can one software path ...

Intel and AMD announced they will jointly adopt oneDNN as the default open-source library for x86 CPU acceleration in PyTorch ...

AMD and Intel are working together to bring CPU inference optimizations for PyTorch under the unified oneDNN library.

Neural networks are called "black boxes." This means that while you get an answer when you input data, you cannot see what is happening inside.However, you can peek inside smaller networks. What is a ...

AMD and Intel now back one library to speed up AI work in PyTorch on x86 processors. Developers running models on a Ryzen, ...

AMD and Intel plan to combine their x86 CPU optimization work for PyTorch in oneDNN to give developers a common software path ...

CUG, a high-resolution road dataset covering ten Chinese cities with road-surface, centerline and graph annotations. A ...