Top 20 NuGet Packages
ML.NET featurizers with native code implementation
ML.NET components for Apache Parquet support.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains classes and methods needed to execute the inference code.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains the Infer.NET Compiler, which takes model descriptions written using the Infer.NET API and converts them into inference code.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains visualization tools for exploring and analyzing models on Windows platform.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains complete machine learning applications including a classifier and a recommender system.
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains visualization tools for exploring and analyzing models on Windows platform.
Sample utils for Microsoft.ML.Samples
Microsoft Machine Learning Scoring library for deep learning model inference. Current version of the library supports inferencing on ONNX v1.3 and TensorFlow v1.10.0 models. The library supports CPU execution with MKL/MKLDNN acceleration. Also supports CUDA GPU devices. For CPU execution of ONNX mod...
ML.NET component for a statically typed API.
Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.13.1 redistributed as a NuGet package.
Microsoft MLFeaturizers
This .NET assembly contains the core MSAGL layout functionality. Use this library if you just want MSAGL to perform the layout only and afterwards you will use a separate tool to perform the rendering and visualization.
The Definitions of different drawing attributes like colors, line styles, etc. It also contains definitions of a node class, an edge class, and a graph class. By using these classes a user can create a graph object and use it later for layout, and rendering.
The MSAGL GraphViewerGDI control lets you visualize graphs and has and some other rendering functionality. Key features: (1) Pan and Zoom (2) Navigate Forward and Backward (3) tooltips and highlighting on graph entities (4) Search for and focus on graph entities.