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MBrace runtime core library containing the foundations for implementing distributed runtimes that support cloud workflows. The runtime core uses FsPickler and Vagabond as a foundation for... More information

FsLab is a combination package that supports doing data science with F#. FsLab includes literate scripting converted to HTML and PDF, and by default references Deedle (a data frame library), FSharp.Data (for... More information

The 'dotnet fsdocs' documentation generation tool for F# projects. Install use 'dotnet tool add fsdocs-tool'. See the project site for documentation.

XPlot is a cross-platform data visualization library that supports creating charts using Google Charts and Plotly. The library provides a composable domain specific language for building charts and specifying... More information

TorchSharp makes PyTorch available for .NET users. libtorch-cpu contains components of the PyTorch LibTorch library version 2.10.0 redistributed as a NuGet package with added support for TorchSharp.

An F# Type Provider providing strongly typed access to the R statistical language. The type provider automatically discovers available R packages and makes them easily accessible from F#, so you can easily call... More information

MBrace on Windows Azure.

F#-first linear algebra, machine learning, fitting, signal processing, and statistical testing.

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.10.0 CPU support.

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... More information

(see main package)

(see main package)

(see main package)

MBrace library for distributing flow computations.

A limited CodeDom implementation for F#

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.10.0 CUDA 12.8 support for Linux.

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... More information

(see main package)

Deedle implements an efficient and robust frame and series data structures for manipulating with structured data. It supports handling of missing values, aggregations, grouping, joining, statistical functions... More information

(see main package)