Nemoa is a python package for designing and building complex systems of stacked artificial neural networks. The key goal of this project is to provide an intuitive framework for designing data transformations which implement given requirements and also respect local and global restrictions of the underlying data structure. Common requirements for example are reconstruction of missing information, data classification, structural data analysis or data dimensionality reduction. For a current featurelist see the changelog.
Nemoa is available free for any use under the GPLv3 license. Releases can be downloaded from GitHub Pages.
Contributers are very welcome! Feel free to report bugs and feature requests to the issue tracker provided by GitHub, or to directly send me a mail. ou can also follow the progress of the project by joining the nemoa google group (which is currently not very weel-frequented).
Nemoa is maintained by Patrick Michl