Top 20 NuGet Machine Packages

Chocolatey is a package manager for Windows (like apt-get but for Windows). It was designed to be a decentralized framework for quickly installing applications and tools that you need. It is built on the NuGet infrastructure currently using PowerShell as its focus for delivering packages from the di...
Enrich Serilog log events with properties from System.Environment.
Provides virtual machine, virtual machine extensions and availability set management (Fluent) capabilities for Microsoft Azure.
Workflow Core is a light weight workflow engine targeting .NET Standard.
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 Graph RBAC management (Fluent) capabilities for Microsoft Azure.
The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.
Workflow Engine is a lightweight all-in-one component 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 visual designer. Design...
Chocolatey is a package manager for Windows (like apt-get but for Windows). It was designed to be a decentralized framework for quickly installing applications and tools that you need. It is built on the NuGet infrastructure currently using PowerShell as its focus for delivering packages from the di...
A lightweight, linq-friendly inference library for .NET
Library to manage docker-machine, docker-compose, and docker containers for windows / mac or native linux.
Provides learning algorithms and models for DecisionTree regression and classification.
Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
Provides cross-validation, training/test set samplers and learning curves for SharpLearning.
Provides learning algorithms and models for GradientBoost regression and classification.
Provides learning algorithms and models for neural net regression and classification.
Provides optimization algorithms.
Provides extensions for Workflow Core to enable human workflows.
.Net wrapper for the XGBoost machine learning library. Targeted for x64 and supports .Net Framework versions 4.0 and above.