ad-delcont: Reverse-mode automatic differentiation with delimited continuations
Reverse-mode automatic differentiation using delimited continuations (shift/reset).
The package exposes a small and easily extensible user interface to automatic differentiation combinators. It's also lightweight as a dependency, since it only requires base and transformers.
To use the library, import Numeric.AD.DelCont, which also contains all documentation.
Blog post : http://ocramz.github.io/haskell/automatic-differentiation/2021/07/19/ad-delcont.html
References :
F. Wang et al, Backpropagation with Continuation Callbacks : Foundations for Efficient and Expressive Differentiable Programming, NeurIPS 2018 - https://papers.nips.cc/paper/2018/file/34e157766f31db3d2099831d348a7933-Paper.pdf
F. Wang et al, Demystifying Differentiable Programming : Shift/Reset the Penultimate Backpropagator, ICFP 2019 - https://www.cs.purdue.edu/homes/rompf/papers/wang-icfp19.pdf
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- ad-delcont-0.5.0.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 0.1.0.0, 0.2.0.0, 0.3.0.0, 0.5.0.0 |
|---|---|
| Change log | Changelog.md |
| Dependencies | base (>=4.7 && <5), transformers (>=0.5) [details] |
| Tested with | ghc ==8.10.4 |
| License | BSD-3-Clause |
| Copyright | (c) 2021 Marco Zocca |
| Author | Marco Zocca |
| Maintainer | ocramz |
| Category | Math, Numeric, Machine Learning, Optimization, Optimisation |
| Home page | https://github.com/ocramz/ad-delcont |
| Source repo | head: git clone https://github.com/ocramz/ad-delcont |
| Uploaded | by ocramz at 2023-07-03T06:57:16Z |
| Distributions | LTSHaskell:0.5.0.0, NixOS:0.5.0.0, Stackage:0.5.0.0 |
| Downloads | 815 total (31 in the last 30 days) |
| Rating | 2.25 (votes: 2) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs available [build log] Last success reported on 2023-07-03 [all 1 reports] |