Top 20 NuGet learning Packages

Provides ensemble learning for regression and classification.

Bright Wire is an open source machine learning library. Includes neural networks (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.

Provides classification, regression, impurity and ranking metrics.

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-12.1, libtorch-cuda-12.1-win-x64 or libtorch-cuda-12.1-linux-x64 version 2.4.0.0 to execute.

Extreme Optimization Numerical Libraries for .NET Data Access Library for JSON.

TorchSharp makes PyTorch available for .NET users. libtorch-cpu contains components of the PyTorch LibTorch library version 2.4.0 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/

Integration for Catalyst to run spaCy models from C#.

A tiny neural network library.

ML.NET component for Microsoft.ML.OnnxRuntime.Managed library

Package Description

Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning. Make sure to set the platform of your project to x64.

A library with data structures, various algorithms and numerous extension methods.

HDBSCAN is a clustering algorithm developed by Campello, Moulavi, and Sander. It extends DBSCAN by converting it into a hierarchical clustering algorithm, and then using a technique to extract a flat clustering based in the stability of clusters.

This package contains a library for turning FsLab experiments written as script files into HTML and LaTeX reports.

The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis. This package provides types specialized to single-precision, including complex numbers, as well as optimized implementations of single-precision linear algebra. Supports .NET 6.0...

Extreme Optimization Numerical Libraries for .NET IronPython interface library

The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis. This package provides a complete implementation of linear algebra functionality for arbitrary numerical types. Supports .NET 6.0, .NET 5.0, .NET Framework 4.62+, .NET...

Extreme Optimization Numerical Libraries for .NET F# interface library.