softpy
This is the GitHub repository for the softpy library, a Python library for soft computing, currently focused on fuzzy systems and evolutionary computing. It was originally developed for educational purposes within th Laboratory class of the Fuzzy Systems and Evolutionary Computing course, offered at the 2nd year of the Bachelor of Science in Artificial Intelligence at University of Milano-Bicocca.
The aim of the library is to provide a practical implementation of the main ideas in soft computing, specifically fuzzy systems and evolutionary computing.
THe library is released as open-source and available on GitHub and pypi.
Main Developer: Andrea Campagner (PhD) Affiliation: Post-Doc Researcher at IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
1 maintainer
Release files for softpy 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| softpy-0.2.0.tar.gz | 27.6 kB | Details |
Release files / softpy-0.2.0.tar.gz
| Download URL | softpy-0.2.0.tar.gz |
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| Size | 27.6 kB |
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