hopfield: Hopfield Networks, Boltzmann Machines and Clusters
Attractor Neural Networks for Modelling Associative Memory
Report: https://github.com/imperialhopfield/hopfield/raw/master/report/report.pdf
A third year group project at Imperial College London, supervised by Prof. Abbas Edalat.
This projects implements:
Hopfield Networks
Clusters and Super Attractors
The Restricted Boltzmann Machine
A Boltzmann Machine for classification
and comes with a range of experiments to evaluate their properties.
Modules
[Index]
Downloads
- hopfield-0.1.0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
- No Candidates
| Versions [RSS] | 0.1.0.0, 0.1.0.1, 0.1.0.2 |
|---|---|
| Dependencies | array (>=0.4.0.0), base (>=4 && <=5), deepseq (>=1.3.0.0), directory (>=1.1.0.2), erf (>=2.0.0.0), exact-combinatorics (>=0.2.0.4), hmatrix (>=0.11.0.4), hopfield, JuicyPixels (>=2.0.0), monad-loops (>=0.3.3.0), MonadRandom (>=0.1.8), optparse-applicative (>=0.5.0.0), parallel (>=3.1.0.1), probability (>=0.2.4), QuickCheck (>=2.4.2), random (>=1.0.1.1), random-fu (>=0.2.3.1), rvar (>=0.2.0.1), split (>=0.2.1.1), vector (>=0.9.1) [details] |
| License | MIT |
| Copyright | Copyright: (c) 2012 Mihaela Rosca, Lukasz Severyn, Niklas Hambuechen, Razvan Marinescu, Wael Al Jisihi |
| Author | Mihaela Rosca, Lukasz Severyn, Niklas Hambuechen, Razvan Marinescu, Wael Al Jisihi |
| Maintainer | Niklas Hambuechen <mail@nh2.me> |
| Category | AI, Machine Learning |
| Home page | https://github.com/imperialhopfield/hopfield |
| Bug tracker | https://github.com/imperialhopfield/hopfield/issues |
| Source repo | head: git clone git://github.com/imperialhopfield/hopfield.git |
| Uploaded | by NiklasHambuechen at 2013-12-12T10:40:31Z |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Executables | recognize, experiment |
| Downloads | 2740 total (0 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs uploaded by user [build log] All reported builds failed [all 1 reports] |