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Lens is the light, efficient network simulator, written by Doug Rohde. LensOSX is a native MacOSX port of Lens that runs on MacOSX 10.5 or higher, created by Harm Brouwer, Daniel de Kok and Hartmut Fitz.
This is ANN trained application to predict digits from 0 - 9.
It can predict digits from 0-9 with Artificial NeuralNetwork. I trained ANN with 100 samples of each digit. It takes input of 20x20 pixel image and predicts it with NeuralNetwork. It may predict wrong digit due to very low sample data but it work 90% correctly.
Note: JRE 1.6 is required to run this application.
Moved to https://github.com/rdiankov/openrave
An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.
It's an object-oriented library written in C++ for creating arbitrary kind of neural networks. The user can use the classes provided to create neuralnetwork with arbitrary topology and mixed type of neurons. It's very easy add custom neurons.
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The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neuralnetwork controllers for the rover
Cervelletto is a neuralnetwork simulator. It uses a new neural model based on biological, neurological and psychological studies. [it's not yet completed... just give me some weeks! sorry!]