Top 20 NuGet machine Packages

ML.NET component for Image support

Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.

Extreme Optimization Numerical Libraries for .NET P/Invoke MKL Provider for Windows.

Extreme Optimization Numerical Libraries for .NET Single-Precision P/Invoke MKL Provider for Windows.

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.

An integration package for ML.NET models on scalable web apps and services.

LibTopoART provides C# implementations of several TopoART neural networks which are suited to problems such as online-learning, lifelong learning from data streams, as well as incremental learning and prediction from non-stationary data, noisy data, imbalanced data, and incomplete data.

TorchSharp makes PyTorch available for .NET users. libtorch-cuda-10.2 contains components of the PyTorch LibTorch library version 1.7.0 redistributed as a NuGet package with added support for TorchSharp.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

Workflow Engine based on State Machine

ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters

Encog is an advanced machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data. Machine learning algorithms such as Support Vector Machines, Artificial Neural Networks, Genetic Programming, Bayesian Networks, Hidden Markov Mod...

Staty is a smart state-machine for .NET. Written as C# portable class library (PCL), Staty comes as an expressive event-driven state-machine with features like concurrence-safety, external and interal events, separate classes per state, entry and exit actions and a fluent syntax to configure the sta...

Graph-base protocol machines for F#

Provides learning algorithms and models for AdaBoost regression and classification.

Provides ensemble learning for regression and classification.