Search Results for "model train design"

Build clean, pixel perfect, native UIs. Share behavior and business logic in a single codebase across supported platforms, using the Model-View-ViewModel (MVVM) design pattern. MvvmCross is a framework specifically developed for Xamarin and the mobile ecosystem. It supports Xamarin.iOS, Xamarin.Android, Xamarin.Mac, Xamarin.Forms, Universal Windows Platform (UWP) and Windows Presentation Framework (WPF). MvvmCross is a cross-platform MVVM framework. It enables developers to create apps using the MVVM pattern on Xamarin.iOS, Xamarin.Android, Xamarin.Mac, Xamarin.Forms, Universal Windows Platform (UWP) and Windows Presentation Framework (WPF). ...

Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes...

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks, which means you can train a model with one framework and deploy it with another. ...