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Title: Random (DiffSharp)

Description: DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains.

direct link

Domain: diffsharp.github.io

authorAtılım Güneş Baydin, Don Syme, Barak A. Pearlmutter, Jeffrey Siskind, and DiffSharp contributors

Links:

https://diffsharp.github.io/reference/index.html
Homehttps://diffsharp.github.io/index.html
GitHubhttps://github.com/DiffSharp/DiffSharp/
License (BSD)https://github.com/DiffSharp/DiffSharp/blob/dev/LICENSE
Installhttps://diffsharp.github.io/install.html
Quickstarthttps://diffsharp.github.io/quickstart.html
More Exampleshttps://github.com/DiffSharp/DiffSharp/tree/dev/examples
API Referencehttps://diffsharp.github.io/reference/index.html
Extensionshttps://diffsharp.github.io/extensions.html
DiffSharp.Util https://diffsharp.github.io/reference/diffsharp-util.html
shuffledIndices length https://diffsharp.github.io/reference/diffsharp-util-randommodule.html#shuffledIndices
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L129-129

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