đź•“ 5 MINIn the first article of this series, I explained how to load, evaluate and convert a PyTorch-trained BERT QnA model to an ONNX-compatible format. In
đź•“ 5 MINThis article will explore loading a pre-trained ONNX model, trained on the popular MNIST dataset, into an application built with the Uno Platform. By loading
đź•“ 6 MINThe previous article introduced the ONNX, an open standard for exchanging and sharing deep learning models which can allow developers to facilitate on-device inference. The
đź•“ 8 MINOne of the most recent and exciting areas in mobile application development is the integration of machine learning models to add intelligent capabilities. With the
đź•“ 5 MINIn this blog, we’ll explore how Uno Platform and WebAssembly make it possible to develop apps for Microsoft Teams using C# and XAML. And how
🕓 4 MINNick Randolph’s earlier post in this blog series covered the basics of sorting and grouping. The CollectionViewSource provides a wrapper around a data source that can
đź•“ 3 MINWelcome to this article! đź‘‹ Together, we will develop a mobile user interface using Uno Platform XAML. As you might know, the XAML Uno Platform
🕓 6 MINThis article will look closely at LiteDB, a .NET NoSQL Document Store in a single data file. We will discover the advantages of LiteDB and why it
đź•“ 4 MINWinUI contains classes for menus belonging to a Window and context menus attached to other controls. Users will be familiar with menus in traditional desktop
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