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Title: DiffSharp (API Reference)

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 https://diffsharp.github.io/reference/diffsharp.html
DiffSharp.Backends https://diffsharp.github.io/reference/diffsharp-backends.html
DiffSharp.Data https://diffsharp.github.io/reference/diffsharp-data.html
DiffSharp.Distributions https://diffsharp.github.io/reference/diffsharp-distributions.html
DiffSharp.Model https://diffsharp.github.io/reference/diffsharp-model.html
DiffSharp.Optim https://diffsharp.github.io/reference/diffsharp-optim.html
DiffSharp.Util https://diffsharp.github.io/reference/diffsharp-util.html

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