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hopfield: Hopfield Networks, Boltzmann Machines and Clusters

[ ai, library, machine-learning, mit, program ] [ Propose Tags ]

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

[Last Documentation]

  • Hopfield
    • Hopfield.Analysis
    • Hopfield.Benchmark
    • Boltzmann
      • Hopfield.Boltzmann.ClassificationBoltzmannMachine
      • Hopfield.Boltzmann.RestrictedBoltzmannMachine
    • Hopfield.Clusters
    • Hopfield.Common
    • Experiments
      • Hopfield.Experiments.ClusterExperiments
      • Hopfield.Experiments.Experiment
      • Hopfield.Experiments.Experiment2SuperAttractors
      • Hopfield.Experiments.ExperimentUtil
      • Hopfield.Experiments.SmallExperiments
    • Hopfield.Hopfield
    • Images
      • Hopfield.Images.ConvertImage
    • Hopfield.Measurement
    • Hopfield.SuperAttractors
    • Hopfield.TestUtil
    • Hopfield.Util

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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 (>=2.7.3), 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 2014-04-09T23:56:51Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Executables recognize, experiment
Downloads 2665 total (8 in the last 30 days)
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Status Docs not available [build log]
All reported builds failed as of 2016-12-15 [all 8 reports]