Top 20 NuGet Machine Packages

Workflow Core is a light weight workflow engine targeting .NET Standard.
Enrich Serilog log events with properties from System.Environment.
Provides Graph RBAC management (Fluent) capabilities for Microsoft Azure.
Provides virtual machine, virtual machine extensions and availability set management (Fluent) capabilities for Microsoft Azure.
ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis. This is the main package that contains all the core functionality. For optimal performance, we strongly recommend also referencing one of the native packages based on Intel's Mat...
Microsoft.ML.CpuMath contains optimized math routines for ML.NET.
Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.12.0 redistributed as a NuGet package.
Workflow Engine is an open source workflow engine for .NET and .NET Core that enables you to add custom executable .NET and Java workflows of any complexity to any software, be it your own creation or a third-party solution, with minimal changes to existing code. Its core features are: - HTML5 visu...
Provides learning algorithms and models for XGBoost regression and classification.
Provides cross-validation, training/test set samplers and learning curves for SharpLearning.
Provides ensemble learning for regression and classification.
Provides learning algorithms and models for neural net regression and classification.
Provides learning algorithms and models for DecisionTree regression and classification.
XComponent Studio Community Edition. Unleash the power of microservices.
XComponent Spy Community Edition. Unleash the power of microservices.
XComponent Core Community Edition. Unleash the power of microservices.
This package contains ONNX Runtime for .Net platforms
Provides learning algorithms and models for AdaBoost regression and classification.
Provides learning algorithms and models for GradientBoost regression and classification.