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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
Random() https://diffsharp.github.io/reference/diffsharp-util-random.html#``.ctor``
Randomhttps://diffsharp.github.io/reference/diffsharp-util-random.html
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L35-35
Randomhttps://diffsharp.github.io/reference/diffsharp-util-random.html
Random.Bernoulli() https://diffsharp.github.io/reference/diffsharp-util-random.html#Bernoulli
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L101-101
Random.Bernoulli(prob) https://diffsharp.github.io/reference/diffsharp-util-random.html#Bernoulli
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L98-98
Random.Choice(array, probs) https://diffsharp.github.io/reference/diffsharp-util-random.html#Choice
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L85-85
Random.Choice(array) https://diffsharp.github.io/reference/diffsharp-util-random.html#Choice
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L82-82
Random.ChoiceIndex(probs) https://diffsharp.github.io/reference/diffsharp-util-random.html#ChoiceIndex
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L75-75
Random.Double(low, high) https://diffsharp.github.io/reference/diffsharp-util-random.html#Double
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L64-64
Random.Double() https://diffsharp.github.io/reference/diffsharp-util-random.html#Double
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L61-61
Random.Integer(low, high) https://diffsharp.github.io/reference/diffsharp-util-random.html#Integer
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L72-72
Random.Integer() https://diffsharp.github.io/reference/diffsharp-util-random.html#Integer
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L69-69
Random.Multinomial(probs, numSamples) https://diffsharp.github.io/reference/diffsharp-util-random.html#Multinomial
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L94-94
Random.Multinomial(probs, numSamples) https://diffsharp.github.io/reference/diffsharp-util-random.html#Multinomial
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L90-90
Random.Normal(mean, stddev) https://diffsharp.github.io/reference/diffsharp-util-random.html#Normal
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L58-58
Random.Normal() https://diffsharp.github.io/reference/diffsharp-util-random.html#Normal
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L48-48
Random.Seed(seed) https://diffsharp.github.io/reference/diffsharp-util-random.html#Seed
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L39-39
Random.Shuffle(array) https://diffsharp.github.io/reference/diffsharp-util-random.html#Shuffle
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L113-113
Random.UUID() https://diffsharp.github.io/reference/diffsharp-util-random.html#UUID
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L105-105
Random.Uniform(low, high) https://diffsharp.github.io/reference/diffsharp-util-random.html#Uniform
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L45-45
Random.Uniform() https://diffsharp.github.io/reference/diffsharp-util-random.html#Uniform
https://github.com/DiffSharp/DiffSharp//tree/dev/src/DiffSharp.Core/Util.fs#L42-42

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