https://github.com/o1lo01ol1o/diffhask

DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.
https://github.com/o1lo01ol1o/diffhask

automatic-differentiation backpropagation deep-learning diffsharp haskell

Last synced: about 2 months ago
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DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.

• Host: GitHub
• URL: https://github.com/o1lo01ol1o/diffhask
• Owner: o1lo01ol1o
• License: mit
• Created: 2017-11-26T16:10:14.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-06-27T12:49:11.000Z (over 5 years ago)
• Last Synced: 2024-10-31T14:40:42.073Z (about 2 months ago)
• Topics: automatic-differentiation, backpropagation, deep-learning, diffsharp, haskell
• Language: Haskell
• Homepage:
• Size: 160 KB
• Stars: 26
• Watchers: 5
• Forks: 3
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-haskell-deep-learning - diffhask - DSL for forward and reverse mode automatic differentiation via a version of operator overloading. Port of DiffSharp to Haskell; currently a work in progress. | [Tim Pierson](https://github.com/o1lo01ol1o) (Haskell Packages / Packages Under Active Development)

README

        
# diffhask

[![Hackage](https://img.shields.io/hackage/v/diffhask.svg)](https://hackage.haskell.org/package/diffhask)

[![Build status](https://secure.travis-ci.org/o1lo01ol1o/diffhask.svg)](https://travis-ci.org/o1lo01ol1o/diffhask)

[![MIT license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/o1lo01ol1o/diffhask/blob/master/LICENSE)

> Vive la programmation différentielle! 

>

> --  Yan LeCun  

 

 

DSL for forward and reverse mode automatic differentiation via a version of operator overloading.  

Port of [DiffSharp](https://github.com/DiffSharp/DiffSharp) to Haskell; currently a work in progress.

Example usage:

```haskell

let g a b = (a + b / a) / (D 2.0 :: D Float)

compute $ diff' (fixPoint g (D 1.2)) (D 25.0 :: D Float) 

-- (D 1.0, D 5.0), (D 1.0, D 0.1)

```