This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow Python Neural Genetic Algorithm Hybrids

Python Neural Genetic Algorithm Hybrids Web Site

Other Useful Business Software
Go from Code to Production URL in Seconds Icon
Go from Code to Production URL in Seconds

Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
Start Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
★
1
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • The examples on the PyNeurGen website and in the source are excellent. However, I would like to see a new version which takes advantage of multiprocessing to speed up evaluation time.
Read more reviews >

Additional Project Details

Intended Audience

Developers, Science/Research

Programming Language

Python

Related Categories

Python UML Tool, Python Genetic Algorithms, Python Artificial Intelligence Software

Registered

2008-04-04