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This project are in pause right nowI hope restart this development soonScientists who work discovering new methods and algorithms to solve increasingly complex problems in the scientific area often are faced with situations that slow down the speed of their research like programming issues, code rewriting or even the high costs of commercial simulation programs (eg. MATLAB).

In an attempt to provide an environment for the research development in the area of Neural Networks and to provide support for the production of even more efficient algorithms is that this project is made for, this toolbox aims to implement all existing neural network algorithms in Python, and with this basis the new researchs, simulations and improvements of existing algorithms and implementations are mare.

The model of this toolbox development will be with the greatest number of components reuse and inheritance for classes implemented. Since the initial algorithms to be implemented are: Perceptron, LMS, Multi-Layer Perceptron, SVM, Networking Dynamics, Competitive Networks and Self-organizing maps Algorithm.

All contributions are welcome. (including the english revision)

Best regards,

Allan Garcia

Tags

ai artificialintelligence framework gsoc neuralnetworks pynn python reuse toolbox

In a Nutshell, pynn...

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