DiffSharp

Summary:
DiffSharp is an automatic differentiation (AD) library implemented in the F# language. It supports C# and the other common language infrastructure languages. The library is under active development by Atılım Güneş Baydin and Barak A. Pearlmutter mainly for research applications in machine learning, as part of their work at the Brain and Computation Lab, Hamilton Institute, National University of Ireland Maynooth.

Please visit the project website for detailed documentation and usage examples.

URL: http://diffsharp.github.io/DiffSharp/

Developers:

• Atilim Gunes Baydin
• Barak A. Pearlmutter

Mode:	Forward Reverse
Method:	Operator overloading
Supported Language:	.NET C# F#

Reference:


Supported Platforms:

• Windows
• Unix/Linux
• Mac

Licensing: open source

Entries in our publication database that actually use DiffSharp in the numerical experiments:  4

The following diagram shows these entries versus the year of the publication.

10+ #Entries 0	2	1	1
	'15	'16	'18
	Year

Related Research Groups:

• Brain and Computation Lab, National University of Ireland Maynooth, Ireland