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README.md

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+Attractor Neural Networks for Modelling Associative Memory
+==========================================================
+
+[![Build Status](https://travis-ci.org/imperialhopfield/hopfield.png)](https://travis-ci.org/imperialhopfield/hopfield)
+
+A third year Computing group project at [Imperial College London](http://www3.imperial.ac.uk/computing/), supervised by [Prof. Abbas Edalat](https://www.doc.ic.ac.uk/~ae/).
+
+Get it from Hackage via: `cabal install hopfield`.
+
+Our report: <https://github.com/imperialhopfield/hopfield/raw/master/report/report.pdf>
+
+
+Features
+--------
+
+This project implements (in Haskell):
+
+* 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.
+
+
+License
+-------
+
+MIT licensed. We appreciate a mention if our code or results were useful for you.
+
+Written by:
+
+* Mihaela Rosca
+* Wael Al Jisihi
+* Niklas Hambüchen
+* Razvan Marinescu
+* Lukasz Severyn