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.
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.
PYTHON NEURAL GENETIC ALGORITHM HYBRIDS RELATED DOWNLOADS
Python Multimodal Hub 0.9.beta
This project implements the Multimodal Middleware Protocol in Python. It can be used to connect multimodal components in the same computer or in the network. The Multimodal Hub and Browser component can be used to manage the component network. ...
Python plus TeX 1.0
This project will entail Python modules which will offer an interface for Python programmers to produce TeX documents from within Python software. ...
