Exploring DragGAN implementation using ONNX Runtime 

5 min read

In this Blog we will describe our implementation of the DragGAN2 algorithm, based on StyleGAN1, using ONNX Runtime. We will give a technical overview of the architectures, describe the motivation and discuss challenges and their resolution. We have also released the python code that walks through the resulting implementation. Read more

Microsoft welcomes you to KubeCon Chicago 

3 min read

Whether you’re a developer, an SRE, or trying to figure out how cloud-native technology can help deliver more for your business, wherever you go at KubeCon, you’ll find Microsoft building and serving the open-source communities that serve our customers. Read more

Enabling developer collaboration with Radius 

6 min read

The Microsoft Azure Incubations team is excited to announce a new open application platform called Radius that places the application at the center of every workflow; redefining how applications are built, managed, and understood. Read more

Accelerating over 130,000 Hugging Face models with ONNX Runtime 

3 min read

ONNX models can be accelerated with ONNX Runtime (ORT), which works cross-platform and provides coverage for many cloud models and language models. Updating the HF Model Hub with more accurate information about ONNX coverage will ensure that users can leverage all the benefits of ORT when deploying HF models. Read more

Connect fluid dynamics, machine learning, and virtual reality with ONNX Runtime 

5 min read

By thinking outside the box, we can envision creating a virtual multiverse. Within this innovative space, one can propose, evaluate, and decide on multiple hypotheses. Real-world examples of this approach include planning new product configurations, operating a plant, designing heating or cooling systems, or responding to catastrophes. Read more

On-Device Training with ONNX Runtime: A deep dive 

6 min read

Building upon the foundation we established earlier, this blog will present comprehensive information about the underlying details of training models directly on user devices using ORT. Equipped with these technical details, we encourage you to try out On-Device Training with ONNX Runtime for your custom scenario.  Read more